Gotowe bibliografie tematyczne / Correlation dependence

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Gotowa bibliografia na temat „Correlation dependence”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 19 lipca 2025

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Artykuły w czasopismach na temat "Correlation dependence"

Genest, Christian. "Correlation and Dependence." Journal of the American Statistical Association 97, no. 458 (2002): 653–54. http://dx.doi.org/10.1198/jasa.2002.s472.

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Åkerborg, Örjan, Andrea Lang, Anders Wimo, et al. "Cost of Dementia and Its Correlation With Dependence." Journal of Aging and Health 28, no. 8 (2016): 1448–64. http://dx.doi.org/10.1177/0898264315624899.

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Objective: To estimate the cost of dementia care and its relation to dependence. Method: Disease severity and health care resource utilization was retrieved from the Swedish National Study on Aging and Care. Informal care was assessed with the Resource Utilization in Dementia instrument. A path model investigates the relationship between annual cost of care and dependence, cognitive ability, functioning, neuropsychiatric symptoms, and comorbidities. Results: Average annual cost among patients diagnosed with dementia was €43,259, primarily incurred by accommodation. Resource use, that is, institutional care, community care, and accommodation, and corresponding costs increased significantly by increasing dependency. Path analysis showed that cognitive ability, functioning, and neuropsychiatric symptoms were significantly correlated with dependence, which in turn had a strong impact on annual cost. Discussion: This study confirms that cost of dementia care increases with dependence and that the impact of other disease indicators is mainly mediated by dependence.

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A, Nandhini. "Assess the Correlation between the Level of Co-dependency and Quality of Marital Life among Wives of Clients with Alcohol Dependence in Selected De-Addiction Centre, Bengaluru." International Journal of Health Sciences and Research 11, no. 6 (2021): 164–71. http://dx.doi.org/10.52403/ijhsr.20210626.

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Aim: Present study attempts to assess the correlation between co-dependency and quality of marital life among wives of alcohol dependence clients. Materials and Methods: Descriptivecorrelational design with a non-probability purposive sampling method was used. The sample of this study comprised of 50 wives of clients with alcohol dependence admitted to the Deaddiction center. Data was collected using the Socio-demographic proforma, co-dependency scale, and marital quality scale to assess the correlation between the level of co-dependency and quality of marital life. Results: In this study, the result shows that the sample's co-dependency scale indicates that 8% of respondents were moderately co-dependent and 92% were highly co-dependent, and none of them were completely independent. The quality of marital life scale shows that 78% were moderately affected, 20% have severely affected, and the remaining 2% were mildly affected by marital quality. The computed value of Karl Pearson’s correlation coefficient was + 0.627. So this shows there exists a positive correlation between co-dependency and the Quality of Marital life. Analysis of socio-demographic variables with co-dependency level shows no significance, and quality of marital life showed a significant association between husbands' educations, duration of husband’s alcoholism, duration of stay in the de-addiction center, number of children. Thus the study result revealed a positive correlation between the level of Co-dependency and quality of marital life. Conclusion: The study's findings revealed a positive correlation between the level of co-dependency and quality of marital life among wives of clients with alcohol dependence. Key words: Co-dependency, Quality of marital life, Alcohol dependence.

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Sukcharoen, Kunlapath, and David J. Leatham. "Dependence and extreme correlation among US industry sectors." Studies in Economics and Finance 33, no. 1 (2016): 26–49. http://dx.doi.org/10.1108/sef-01-2015-0021.

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Purpose – The purpose of this paper is to examine the degree of dependence and extreme correlation (i.e. tail dependence) among US industry sectors. Design/methodology/approach – This paper makes use of both conventional measures of dependence (the Pearson’s correlation coefficient, Spearman’s rho and Kendall’s tau) and copula measures of extreme correlations (including the same-direction and cross-tail dependence coefficients) to explore sector diversification opportunities. The paper splits the full sample in three periods, namely, 1995 to 2000, 2001 to 2006 and 2007 to 2012, to access the extent to which the dependence results change through time. Findings – This research provides three important findings. First, the degree of dependence and same-direction extreme correlations are high, whereas the cross-extreme correlations are considerably low. Second, the sector pairs offering the best and worst tail diversification change across sample periods. Third, the traditional dependence measures suggest that benefits for sector diversification have decreased over all sample periods, while the potential for sector diversification during extreme events has just started to disappear in the most recent period. Practical implications – An investor should consider both the normal co-movements and extreme co-movements among sector indices to maximize diversification benefits. Originality/value – Given the limited empirical investigations of the degree of dependence and extreme correlation at a sector level, the results from this research should provide additional and valuable information for both investors and empirical researchers about portfolio diversification and risk management.

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Costa, Cintia Maria Rosa Faria da, and Nancy Ramacciotti de Oliveira Monteiro. "Adolescence, co-dependence, and parental attachment: correlations and considerations." Arquivos Brasileiros de Psicologia 73, no. 3 (2022): 217–26. http://dx.doi.org/10.36482/1809-5267.arbp2021v73i3p.217-226.

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Co-dependence is a concept related to emotional and behavioral difficulties of rela-tives of individuals addicted to psychoactive substances; however, it involves other contexts not directly associated to dependency. Thirtyadolescents, children of depen-dent parents, from a city of São Paulo, participated in the study. This study used the Spann-Fischer and EMBU scales, as well as Pearson’s correlation coefficient. From the results, a significant correlation was found between the co-dependence degree and the types of parental attachment, especially overprotection and rejection. This leads to the comprehension of co-dependence as a multivariate phenomenon that may also be associated with the type of attachment established with parents or caregivers.

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Loperfido, Nicola Maria Rinaldo. "Canonical Correlations and Nonlinear Dependencies." Symmetry 13, no. 7 (2021): 1308. http://dx.doi.org/10.3390/sym13071308.

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Canonical correlation analysis (CCA) is the default method for investigating the linear dependence structure between two random vectors, but it might not detect nonlinear dependencies. This paper models the nonlinear dependencies between two random vectors by the perturbed independence distribution, a multivariate semiparametric model where CCA provides an insight into their nonlinear dependence structure. The paper also investigates some of its probabilistic and inferential properties, including marginal and conditional distributions, nonlinear transformations, maximum likelihood estimation and independence testing. Perturbed independence distributions are closely related to skew-symmetric ones.

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Avdulaj, Krenar, and Ladislav Kristoufek. "On Tail Dependence and Multifractality." Mathematics 8, no. 10 (2020): 1767. http://dx.doi.org/10.3390/math8101767.

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We study whether, and if yes then how, a varying auto-correlation structure in different parts of distributions is reflected in the multifractal properties of a dynamic process. Utilizing the quantile autoregressive process with Gaussian copula using three popular estimators of the generalized Hurst exponent, our Monte Carlo simulation study shows that such dynamics translate into multifractal dynamics of the generated series. The tail-dependence of the auto-correlations forms strong enough non-linear dependencies to be reflected in the estimated multifractal spectra and separated from the case of the standard auto-regressive process. With a quick empirical example from financial markets, we argue that the interaction is more important for the asymmetric tail dependence. In addition, we discuss and explain the often reported paradox of higher multifractality of shuffled series compared to the original financial series. In short, the quantile-dependent auto-correlation structures qualify as sources of multifractality and they are worth further theoretical examination.

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Trimech, Anyssa. "Time-varying dependence measures: a comparative analysis through wavelet approach." International Journal of Energy Sector Management 11, no. 2 (2017): 350–64. http://dx.doi.org/10.1108/ijesm-01-2016-0001.

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Purpose This paper aims to investigate the pattern of dependence between crude oil price and energy consumption of the most important economic sectors in the USA, over different time periods, using monthly data set from January 1986 to July 2014 and a comparative study between linear correlation versus copula correlation as a measure of dependence over the single scale and the multiscale analysis. Design/methodology/approach The proposed method is based on the multiresolution analysis which gives more extensive and detailed description of the dependence price-consumption pattern over different periods of time. Findings The empirical results show that the dependence between variables is strongly sensitive to the time varying and generally increasing with time scale. In particular, the Pearson coefficients are less than the dependence copula measures. The single-scale analysis covers many time-varying dependences which are made clear, flexible and comprehensive by the description given by the multiscale approach. It explains better the structure of relationships between variables and helps understand the variations and improve forecasts of the crude oil price and energy consumption over different time scales. Originality/value The proposed methodology offers the opportunity to construct dynamic management strategies by taking into account the multiscale nature of crude oil price and consumption relationship. Moreover, the paper uses wavelets as a relatively new and powerful tool for statistical analysis in addition to the copula technique that allows a new understanding of variable correlation. The paper will be of interest not only for academics in the field of data dependencies analysis but also for fund managers and market investors.

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Zhang, Qingyong, Lingfeng Zhou, Yixin Su, Huiwen Xia, and Bingrong Xu. "Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction." ISPRS International Journal of Geo-Information 12, no. 9 (2023): 366. http://dx.doi.org/10.3390/ijgi12090366.

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Considering the spatial and temporal correlation of traffic flow data is essential to improve the accuracy of traffic flow prediction. This paper proposes a traffic flow prediction model named Dual Spatial Convolution Gated Recurrent Unit (DSC-GRU). In particular, the GRU is embedded with the DSC unit to enable the model to synchronously capture the spatiotemporal dependence. When considering spatial correlation, current prediction models consider only nearest-neighbor spatial features and ignore or simply overlay global spatial features. The DSC unit models the adjacent spatial dependence by the traditional static graph and the global spatial dependence through a novel dependency graph, which is generated by calculating the correlation between nodes based on the correlation coefficient. More than that, the DSC unit quantifies the different contributions of the adjacent and global spatial correlation with a modified gated mechanism. Experimental results based on two real-world datasets show that the DSC-GRU model can effectively capture the spatiotemporal dependence of traffic data. The prediction precision is better than the baseline and state-of-the-art models.

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Sanchez-Castro, Carlos R., John B. Aidun, Galen K. Straub, John M. Wills, and Duane C. Wallace. "Temperature dependence of pair correlations and correlation entropy in a fluid." Physical Review E 50, no. 3 (1994): 2014–18. http://dx.doi.org/10.1103/physreve.50.2014.

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Rozprawy doktorskie na temat "Correlation dependence"

Luo, Yabing. "A Correlation-Based Method to Detect Weak Dependence." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2479.

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The focus of this thesis is an investigation of ways to detect weak dependence between two random variables X and Y. Our approach is to design tests for correlation rather than testing for dependence directly, since X and Y are not independent if they are not uncorrelated. We examined the magnified Pearson correlation after the Box-Cox transformation to determine whether X and Y are dependent. The results indicated that our approach not only has the potential to detect and evaluate the weak dependence cases that have previously been intractable, but also is conceptually simple and easy to implement.

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Sim, Nicholas. "Modeling Quantile Dependence." Thesis, Boston College, 2009. http://hdl.handle.net/2345/2467.

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Thesis advisor: Zhijie Xiao In recent years, quantile regression has achieved increasing prominence as a quantitative method of choice in applied econometric research. The methodology focuses on how the quantile of the dependent variable is influenced by the regressors, thus providing the researcher with much information about variations in the relationship between the covariates. In this dissertation, I consider two quantile regression models where the information set may contain quantiles of the regressors. Such frameworks thus capture the dependence between quantiles - the quantile of the dependent variable and the quantile of the regressors - which I call models of quantile dependence. These models are very useful from the applied researcher's perspective as they are able to further uncover complex dependence behavior and can be easily implemented using statistical packages meant for standard quantile regressions. The first chapter considers an application of the quantile dependence model in empirical finance. One of the most important parameter of interest in risk management is the correlation coefficient between stock returns. Knowing how correlation behaves is especially important in bear markets as correlations become unstable and increase quickly so that the benefits of diversification are diminished especially when they are needed most. In this chapter, I argue that it remains a challenge to estimate variations in correlations. In the literature, either a regime-switching model is used, which can only estimate correlation in a finite number of states, or a model based on extreme-value theory is used, which can only estimate correlation between the tails of the returns series. Interpreting the quantile of the stock return as having information about the state of the financial market, this chapter proposes to model the correlation between quantiles of stock returns. For instance, the correlation between the 10th percentiles of stock returns, say the U.S. and the U.K. returns, reflects correlation when the U.S. and U.K. are in the bearish state. One can also model the correlation between the 60th percentile of one series and the 40th percentile of another, which is not possible using existing tools in the literature. For this purpose, I propose a nonlinear quantile regression where the regressor is a conditional quantile itself, so that the left-hand-side variable is a quantile of one stock return and the regressor is a quantile of the other return. The conditional quantile regressor is an unknown object, hence feasible estimation entails replacing it with the fitted counterpart, which then gives rise to problems in inference. In particular, inference in the presence of generated quantile regressors will be invalid when conventional standard errors are used. However, validity is restored when a correction term is introduced into the regression model. In the empirical section, I investigate the dependence between the quantile of U.S. MSCI returns and the quantile of MSCI returns to eight other countries including Canada and major equity markets in Europe and Asia. Using regression models based on the Gaussian and Student-t copula, I construct correlation surfaces that reflect how the correlations between quantiles of these market returns behave. Generally, the correlations tend to rise gradually when the markets are increasingly bearish, as reflected by the fact that the returns are jointly declining. In addition, correlations tend to rise when markets are increasingly bullish, although the magnitude is smaller than the increase associated with bear markets. The second chapter considers an application of the quantile dependence model in empirical macroeconomics examining the money-output relationship. One area in this line of research focuses on the asymmetric effects of monetary policy on output growth. In particular, letting the negative residuals estimated from a money equation represent contractionary monetary policy shocks and the positive residuals represent expansionary shocks, it has been widely established that output growth declines more following a contractionary shock than it increases following an expansionary shock of the same magnitude. However, correctly identifying episodes of contraction and expansion in this manner presupposes that the true monetary innovation has a zero population mean, which is not verifiable. Therefore, I propose interpreting the quantiles of the monetary shocks as having information about the monetary policy stance. For instance, the 10th percentile shock reflects a restrictive stance relative to the 90th percentile shock, and the ranking of shocks is preserved regardless of shifts in the shock's distribution. This idea motivates modeling output growth as a function of the quantiles of monetary shocks. In addition, I consider modeling the quantile of output growth, which will enable policymakers to ascertain whether certain monetary policy objectives, as indexed by quantiles of monetary shocks, will be more effective in particular economic states, as indexed by quantiles of output growth. Therefore, this calls for a unified framework that models the relationship between the quantile of output growth and the quantile of monetary shocks. This framework employs a power series method to estimate quantile dependence. Monte Carlo experiments demonstrate that regressions based on cubic or quartic expansions are able to estimate the quantile dependence relationships well with reasonable bias properties and root-mean-squared errors. Hence, using the cubic and quartic regression models with M1 or M2 money supply growth as monetary instruments, I show that the right tail of the output growth distribution is generally more sensitive to M1 money supply shocks, while both tails of output growth distribution are more sensitive than the center is to M2 money supply shocks, implying that monetary policy is more effective in periods of very low and very high growth rates. In addition, when non-neutral, the influence of monetary policy on output growth is stronger when it is restrictive than expansive, which is consistent with previous findings on the asymmetric effects of monetary policy on output Thesis (PhD) — Boston College, 2009 Submitted to: Boston College. Graduate School of Arts and Sciences Discipline: Economics

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Liu, Li-yu Daisy. "Coefficient of intrinsic dependence: a new measure of association." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2397.

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To detect dependence among variables is an essential task in many scientific investigations. In this study we propose a new measure of association, the coefficient of intrinsic dependence (CID), which takes value in [0,1] and faithfully reflects the full range of dependence for two random variables. The CID is free of distributional and functional assumptions. It can be easily implemented and extended to multivariate situations. Traditionally, the correlation coefficient is the preferred measure of association. However, it's effectiveness is considerably compromised when the random variables are not normally distributed. Besides, the interpretation of the correlation coefficient is difficult when the data are categorical. By contrast, the CID is free of these problems. In our simulation studies, we find that the ability of the CID in differentiating different levels of dependence remains robust across different data types (categorical or continuous) and model features (linear or curvilinear). Also, the CID is particularly effective when the dependence is strong, making it a powerful tool for variable selection. As an illustration, the CID is applied to variable selection in two aspects: classification and prediction. The analysis of actual data from a study of breast cancer gene expression is included. For the classification problem, we identify a pair of genes that best classify a patient's prognosis signature, and for the prediction problem, we identify a pair of genes that best relates to the expression of a specific gene.

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Eriksson, Kristofer. "Risk Measures and Dependence Modeling in Financial Risk Management." Thesis, Umeå universitet, Institutionen för fysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-85185.

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In financial risk management it is essential to be able to model dependence in markets and portfolios in an accurate and efficient way. A high positive dependence between assets in a portfolio can be devastating, especially in times of crises, since losses will most likely occur at the same time in all assets for such a portfolio. The dependence is therefore directly linked to the risk of the portfolio. The risk can be estimated by several different risk measures, for example Value-at-Risk and Expected shortfall. This paper studies some different ways to measure risk and model dependence, both in a theoretical and empirical way. The main focus is on copulas, which is a way to model and construct complex dependencies. Copulas are a useful tool since it allows the user to separately specify the marginal distributions and then link them together with the copula. However, copulas can be quite complex to understand and it is not trivial to know which copula to use. An implemented copula model might give the user a "black-box" feeling and a severe model risk if the user trusts the model too much and is unaware of what is going. Another model would be to use the linear correlation which is also a way to measure dependence. This is an easier model and as such it is believed to be easier for all users to understand. However, linear correlation is only easy to understand in the case of elliptical distributions, and when we move away from this assumption (which is usually the case in financial data), some clear drawbacks and pitfalls become present. A third model, called historical simulation, uses the historical returns of the portfolio and estimate the risk on this data without making any parametric assumptions about the dependence. The dependence is assumed to be incorporated in the historical evolvement of the portfolio. This model is very easy and very popular, but it is more limited than the previous two models to the assumption that history will repeat itself and needs much more historical observations to yield good results. Here we face the risk that the market dynamics has changed when looking too far back in history. In this paper some different copula models are implemented and compared to the historical simulation approach by estimating risk with Value-at-Risk and Expected shortfall. The parameters of the copulas are also investigated under calm and stressed market periods. This information about the parameters is useful when performing stress tests. The empirical study indicates that it is difficult to distinguish the parameters between the stressed and calm market period. The overall conclusion is; which model to use depends on our beliefs about the future distribution. If we believe that the distribution is elliptical then a correlation model is good, if it is believed to have a complex dependence then the user should turn to a copula model, and if we can assume that history will repeat itself then historical simulation is advantageous.

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He, Li. "Incorporating Correlations to Improve Multiple Testing Procedures Controlling False Discoveries." Diss., Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/144091.

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Statistics Ph.D. Multiple testing is playing an important role in analyzing data from modern scientific investigations. Some fundamentally important theoretical and methodological issues related to multiple testing still remain to be fully investigated. Often the correlation structure among test statistics involved in multiple testing is known a priori or it can be estimated from the data, yet this structure is not often properly taken into consideration while developing multiple testing procedures, even though not doing so might result in a less powerful method than one would like to have or lead to irrelevant or misleading conclusions. This dissertation focuses on research related to improving some of the commonly used multiple testing procedures by incorporating correlations into them. We propose several new results in this dissertation and present some ideas to carry out further research. Temple University--Theses

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Zeise, Carl Eric. "Analysis of trade dependence and correlation of market returns to hedge portfolio risk." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3036.

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The project examines the relationship between trade interdependency and correlation of market returns between the United States and the four emerging economies of Singapore, Malaysia, Thailand and the Philippines. The author analyzed statistical data for trade interdependency and market return to determine if there is a pattern that would provide the basis for increasing the return of a security portfolio without increasing the risk to the investor. The project analysis relied on mathematical formulas to measure the trade relationships between the selected countries and to calculate the measure of return and measure of risk of investing in each emergent market.

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Belu, Alexandru C. "Multivariate Measures of Dependence for Random Variables and Levy Processes." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333396376.

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O, Dohonova K., and Bortnik Y. V. "Construction of dependence function of annual passenger flow and GPD per capita." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50700.

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1. Higher Mathematics: manual. Theory of Probability and Elements of Mathematical Statistics / V.P. Denisiuk, V.M. Bobkov, L.A. Grishina – K.: NAU, 2013. 210-216 pages. 2. Пасажиропотік аеропортів України [Electronic source] - https://www.wikiwand.com/uk/Пасажиропотік_аеропортів_України/Загальний_пасажиропотік_аеропортів_України. 3. Валовой внутренний продукт (ВВП) в Украине 2021[Electronic source] -https://index.minfin.com.ua/economy/gdp/ In many problems of physics, economics, medicine, engineering, etc. we have to experimentally study the dependence of a random variable Y, observed, on one or more other random or non-random variables Х_1,Х_2,…,Х_n. Regression analysis is a branch of mathematical statistics that studies the dependence between random variables using regression equations, and regression is the functional dependence on average of any random variables.

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Yokomizu, Yasunobu, Toshiro Matsumura, Akiji Matsuda, and Hideyuki Ohno. "Dependence of arc interrupting capability on spatial distribution of airflow velocity in air-blast flat-type quenching chamber." IEEE, 2003. http://hdl.handle.net/2237/6793.

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Saar, Helen. "Analysis of trade dependence and correlation of market returns between the United States and Nordic countries." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3269.

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The purpose of the present research paper was three fold. First, determine if there is a trade interdependence between the United States and Nordic countries (Denmark, Finland, Sweden, and Baltic States). Second, determine if there is correlation between the respective equity markets. Third, determine if the changes in the trade relations lead to the changes in stock market correlations. The hypothesis of the project was that weaker trade relations between two countries would lead to lower correlation between their stock markets, providing beneficial opportunities for portfolio diversification. The overall objective is to ascertain if Nordic markets are good targets to hedge portfolio risk for U.S. investors, and if the risks of investing in these markets would be rewarded by the higher returns.

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Książki na temat "Correlation dependence"

Hashem, Pesaran M. Testing dependence among serially correlated multi-category variables. IZA, 2006.

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Wysocki, Włodzimierz. Geometrical aspects of measures of dependence for random vectors. Institute of Computer Science, Polish Academy of Sciences, 1988.

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Hyslop, Dean. State dependence, serial correlation and heterogeneity in intertemporal participation behavior: Monte Carlo evidenceand empirical results for married women. Princeton University, Industrial Relations Section, 1995.

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United States. National Aeronautics and Space Administration., ed. Optical correlation of images with signal-dependent noise using constrained-modulation filter devices. National Aeronautics and Space Administration, 1995.

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Marusenko, Nataliya. Global dependencies and national peculiarities of educational language policy in developing countries. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2131275.

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The monograph examines the correlation of global and local factors in the educational language policies of developing countries that gained independence as a result of the collapse of the world colonial system after World War II. Taking into account the diversity of tasks of nation-building, conditioned by the peculiarities of the historical, political, and socio-economic development of each country and its urgent needs, is necessary for organizing effective cooperation between the Russian Federation and the developing countries of the East and South in the humanitarian, economic, and educational fields. It is intended for researchers and specialists in the field of studying the developing countries of Asia and Africa, organizing cooperation with these countries, students and postgraduates of language, pedagogical and political science specialties.

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Kotz, Samuel. Correlation and Dependence. World Scientific Publishing Co Pte Ltd, 2001.

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Kotz, Samuel. Correlation and Dependence. World Scientific Publishing Company, 2001.

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Correlation and Dependence. World Scientific Publishing Co Pte Ltd, 2007.

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Grade dependence in bivariate mixed data. A uniform approach based on concentration curves. Instytut Podstaw Informatyki Polskiej Akademii Nauk, 1996.

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Satchell, Stephen, and Jamie Alcock. Assymetric Dependence in Finance: Diversification, Correlation and Portfolio Management in Market Downturns. Wiley & Sons, Limited, John, 2018.

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Części książek na temat "Correlation dependence"

Lundin, Mark, and Stephen Satchell. "Orthant Probability-Based Correlation." In Asymmetric Dependence in Finance. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119288992.ch6.

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Székely, Gábor J., and Maria L. Rizzo. "Distance Correlation and Dependence." In The Energy of Data and Distance Correlation. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429157158-25.

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Pfeifer, Dietmar. "Correlation, Tail Dependence and Diversification." In Robustness and Complex Data Structures. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35494-6_18.

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Hong, Yongmiao. "Serial Correlation and Serial Dependence." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2157-1.

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Hong, Yongmiao. "Serial Correlation and Serial Dependence." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2157.

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Hong, Yongmiao. "Serial correlation and serial dependence." In Macroeconometrics and Time Series Analysis. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280830_25.

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Székely, Gábor J., and Maria L. Rizzo. "Axioms of Dependence Measures." In The Energy of Data and Distance Correlation. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429157158-22.

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Jones, Alan R. "Measures of Linearity, Dependence and Correlation." In Probability, Statistics and Other Frightening Stuff. Routledge, 2018. http://dx.doi.org/10.4324/9781315160061-5.

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Davis, Richard, and Sidney Resnick. "Limit Theory for the Sample Correlation Function of Moving Averages." In Dependence in Probability and Statistics. Birkhäuser Boston, 1986. http://dx.doi.org/10.1007/978-1-4615-8162-8_19.

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Oxelheim, Lars. "Swedish Interest Rate Dependence: A Correlation Analysis." In International Financial Integration. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-61293-0_7.

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Streszczenia konferencji na temat "Correlation dependence"

Kim, Jinjae, Jiwon Park, Hyojin Choi, et al. "Correlation-driven Nonequilibrium Exciton Site Transition in a WSe2/WS2 Moiré Supercell." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.fw4b.1.

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We have investigated the site-dependent nonequilibrium exciton correlations in WSe2/WS2 heterobilayers. Near-zero angles exhibit intriguing polarization switching and enhanced Pauli blocking, while a 60° twist angle shows no such correlations, emphasizing moiré supercell configuration dependence.

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Seifert, Mike, Sébastien Chapleau, and Martin Couture. "Dynamics Fem Correlation Using Structural Optimization Tools." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9492.

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Dynamics finite element (FE) models are the principal tools for prediction of rotorcraft airframe oscillatory loads and vibrations. The accuracy and reliability of rotorcraft system-level dynamics FE models is established through correlation with ground vibration test (GVT) data. The traditional method of correlation involves manual iteration that relies heavily on the knowledge, intuition, and persistence of experienced engineers. A new, more efficient FEM correlation process has been developed to adapt to the increased pace of rotorcraft development programs. The process uses sensitivity-based optimization methods to systematically identify and manipulate the most relevant structural parameters to attain the best agreement with the GVT data. The sensitivity-based approach supplements engineering experience and physical insight with quantitative data that assists in the discovery of non-intuitive issues and provides focus on areas of the model that warrant attention. A framework of proprietary in-house codes and commercially-available LMS® software tools was assembled to support the new process, automating data flow, analysis, and model updates. The new tools and procedures make it possible to correlate modern, high-fidelity dynamics FE models at lower cost and with less dependence on the engineer's level of experience.

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Lambrakos, S. G., P. P. Trzaskoma-Paulette, and N. Tran. "A Preliminary Model for Correlation of Plasmon Resonance Spectra with Adherence Properties of Corrosion Inhibitors." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05323.

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Abstract Recent studies have shown that there is correlation between the effectiveness of additives containing corrosion inhibitors and surface plasmon resonance (SPR) spectra. In principle, SPR spectroscopy is a valuable tool to examine metal-inhibitor association because it is specifically sensitive to interface structure or electrochemical processes at a metal surface due to contact with water or an electrolyte solution. In this paper we present a preliminary design of a fiber-optic sensor system based on the use of SPR spectra to obtain quantitative information concerning metal-solution interface structure and electrochemical influences of the ambient environment. The sensor system presented employs an inverse model of the dependence of the SPR spectra on the molecular-polarization characteristics of surface deposits, for example inhibitor molecules, and the ambient environment. The potential extension of the inverse model and sensor geometry to the development of algorithms for signal analysis concerning fiber-optic-based corrosion sensors is discussed.

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Samila, Andriy, Alexander Khandozhko, Galina Lastivka, and Victor Khandozhko. "Temperature dependence of parameters of the 115In NQR spectrum in InSe crystal compound." In Correlation Optics 2017, edited by Oleg V. Angelsky. SPIE, 2018. http://dx.doi.org/10.1117/12.2298402.

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Koziarskyi, I. P., P. D. Marianchuk, E. V. Maistruk, and D. P. Koziarskyi. "Temperature dependence of optical properties (3HgSe)0.5(In2Se3)0.5, doped with Mn or Fe." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.917802.

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Vossmerbäumer, C., and G. Schweiger. "Determination of the Time Dependence of Periodical Optical Signals by Correlation Spectroscopy." In Photon Correlation Techniques and Applications. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/pcta.1988.efd117.

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The time dependence of a periodical signal is determined by measuring its autocorrelation function and its counting rate distribution. The method is applied to the investigation of highly periodical concentration fluctuations observed in the mixing zone of a triple jet containing CO2 and air.

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Kondryuk, Denys V., Valeriy Kramar, and Oleksandr V. Derevyanchuk. "Dependence of optical absorption spectra of the flat double nanoheterostructures Al1-xGaxN/GaN/Al1-xGaxN from their thickness and concentration." In Correlation Optics 2017, edited by Oleg V. Angelsky. SPIE, 2018. http://dx.doi.org/10.1117/12.2305437.

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Khandozhko, Victor, Nikolai Raranskii, Vitaly Balazjuk, Andriy Samila, and Zahar Kovalyuk. "Temperature and baric dependence of nuclear quadruple resonance spectra in indium and gallium monoselenides." In Eleventh International Conference on Correlation Optics, edited by Oleg V. Angelsky. SPIE, 2013. http://dx.doi.org/10.1117/12.2053544.

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Bednov, Andrey A., and Sergey S. Ulyanov. "Investigation of dependence of dynamic partially developed speckle-field contrast on rough-surface statistical characteristics." In Holography, Correlation Optics, and Recording Materials, edited by Oleg V. Angelsky. SPIE, 1993. http://dx.doi.org/10.1117/12.165393.

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Ivanova, M. A., M. A. Ivanova, A. V. Arutyunyan, A. V. Lomakin, and V. A. Noskin. "Investigation of internal motions of high-molecular DNA by Dynamic Light Scattering." In Photon Correlation and Scattering. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/pcs.1996.saa.3.

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Dynamic Light Scattering (DLS) is widely used to study the internal dynamics of biological and synthetic macromolecules. In our internal dynamics investigations we used the approach advanced by Akcasu et al. [1,2]. It consists in obtaining the dynamic characteristics of random coils using the calculations of the first cumulants. We compared the angular dependence of the first cumulant predicted theoretically with that obtained experimentally. We observed the first cumulant transition from the asymptotic for good solvent to the asymptotic for Θ condition in the intermediate q region.

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Raporty organizacyjne na temat "Correlation dependence"

Blanchett, David, and Jeremy Stempien. Investment Horizon, Serial Correlation, and Better (Retirement) Portfolios. CFA Institute Research Foundation, 2024. http://dx.doi.org/10.56227/24.1.8.

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Sharpe, Lisa M. Analytical Characterization of Bistatic Scattering from Rough Surfaces: Dependence on Surface Correlation Function. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256525.

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Bosch, Mariano, Marco Stampini, and Guadalupe Bedoya. Are Conditional Cash Transfers Associated with Lower Labor Supply?: Evidence from Mexico's Oportunidades Over the Period 2000-2010. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0009093.

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This paper analyzes the correlation between the expansion of the Mexican Conditional Cash Transfer program Oportunidades and the evolution of the labor market over the period 2000-10. We find no evidence of perverse effects. Program expansion was not associated with drops in either labor force participation or wageformality. On the contrary, the expansion of Oportunidades was strongly correlated with a transition from informal wage employment to self-employment for men (by 1.6% and 0.6% of total employment in rural and urban municipalities respectively). These findings suggest that Oportunidades is not creating dependence from social assistance.

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Bonnett, Michaela, Meaghan Kennedy, Odiraa Okala, and Teri Garstka. Precision Public Health: Empowering Communities with Hyperlocal Data for Targeted Interventions and Improved Outcomes. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/sktq6431.

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Background Precision public health is an effective strategy for reaching the last mile in service delivery, but is frequently hampered by its dependence on unattainable data standards and the non-transferability of the solutions designed. This paper proposes a five-part system involving 1) dynamic data governance, 2) hyperlocal community data, 3) data synthesis and analysis, 4) the design and implementation of precision interventions, and 5) correlation between community data and traditional outcome data. Recent studies of community network data have found the connectedness of communities to be positively correlated with community social and environmental outcomes. Taking advantage of hyperlocal community data is therefore a promising approach to improve community outcomes by characterizing and optimizing for greater connectivity. Methods Collection and governance of hyper-local data that is community-owned can be accomplished through such transferable systems as IRIS, a community-led referral network originally designed for multi-sector social and healthcare organizations. Using this data, communities can identify precise areas of intervention through descriptive and network analysis techniques, and design a responsive, community-led intervention. Immersive Innovation Labs, an applied learning approach, is an effective methodology for the adaptive design of innovative precision interventions. This combination of approaches can empower communities and public health professionals. Conclusion The COVID-19 pandemic revealed the impact of chronic understaffing and skills gaps, particularly at the local level. This paper aims to broaden the definition of precision public health as a response, beyond the traditional application that is dependent on big, non-contextual data sources. Reframing precision public health to a methodology dependent on community-owned, ongoing data collection allows the design of hyper-local solutions while shifting the burden of scalability to data collection technology. While challenges in implementation remain, precision is necessary to make public health and communities more responsive and effective in delivering equitable health outcomes and reaching the last mile.

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Nadal-Caraballo, Norberto C., Madison C. Yawn, Luke A. Aucoin, et al. Coastal Hazards System–Louisiana (CHS-LA). US Army Engineer Research and Development Center, 2022. http://dx.doi.org/10.21079/11681/45286.

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The US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL) expanded the Coastal Hazards System (CHS) to quantify storm surge and wave hazards for coastal Louisiana. The CHS Louisiana (CHS-LA) coastal study was sponsored by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the New Orleans District (MVN), US Army Corps of Engineers (USACE) to support Louisiana’s critical coastal infrastructure and to ensure the effectiveness of coastal storm risk management projects. The CHS-LA applied the CHS Probabilistic Coastal Hazard Analysis (PCHA) framework to quantify tropical cyclone (TC) responses, leveraging new atmospheric and hydrodynamic numerical model simulations of synthetic TCs developed explicitly for the Louisiana region. This report focuses on documenting the PCHA conducted for the CHS-LA, including details related to the characterization of storm climate, storm sampling, storm recurrence rate estimation, marginal distributions, correlation and dependence structure of TC atmospheric-forcing parameters, development of augmented storm suites, and assignment of discrete storm weights to the synthetic TCs. As part of CHS-LA, coastal hazards were estimated within the study area for annual exceedance frequencies (AEFs) over the range of 10 yr-1 to 1×10-4 yr-1.

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Nadal-Caraballo, Norberto, Madison Yawn, Luke Aucoin, et al. Coastal Hazards System–Puerto Rico and US Virgin Islands (CHS-PR). Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46200.

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The South Atlantic Coastal Study (SACS) was completed by the US Army Corps of Engineers to quantify storm surge and wave hazards allowing for the expansion of the Coastal Hazards System (CHS) to the South Atlantic Division (SAD) domain. The goal of the CHS-SACS was to quantify coastal storm hazards for present conditions and future sea level rise (SLR) scenarios to aid in reducing flooding risk and increasing resiliency in coastal environments. CHS-SACS was completed for three regions within the SAD domain, and this report focuses on the Coastal Hazards System–Puerto Rico and US Virgin Islands (CHS-PR). This study applied the CHS Probabilistic Coastal Hazard Analysis (PCHA) framework for quantifying tropical cyclone (TC) responses, leveraging new atmospheric and hydrodynamic numerical model simulations of synthetic TCs developed explicitly for the CHS-PR region. This report focuses on documenting the PCHA conducted for CHS-PR, including the characterization of storm climate, storm sampling, storm recurrence rate estimation, marginal distributions, correlation and dependence structure of TC atmospheric-forcing parameters, development of augmented storm suites, and assignment of discrete storm weights to the synthetic TCs. As part of CHS-PR, coastal hazards were estimated for annual exceedance frequencies over the range of 10 yr⁻¹ to 10⁻⁴ yr⁻¹.

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Campbell, Tiara, and Olatokunbo Osibogun. Systematic Review of the Correlation Between Red Meat Consumption and Endometriosis. Florida International University, 2025. https://doi.org/10.25148/fiuurj.3.1.10.

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Endometriosis, a chronic estrogen-dependent disorder affecting approximately 10% of women of reproductive age, is associated with symptoms such as chronic pelvic pain and infertility (Yamamoto, 2018, p. 2). Although the pathophysiology of endometriosis remains unclear, emerging evidence suggests that dietary factors, particularly red meat consumption, may influence its development. This systematic review aims to evaluate the existing literature on the correlation between red meat consumption and the risk of developing endometriosis. We conducted a comprehensive systematic review of studies published between 2000 and 2024, sourced from PubMed, Science Direct, Scopus, Google Scholar, and Web of Science. We included observational studies that assessed the relationship between red meat consumption and laparoscopically confirmed endometriosis in premenopausal women. Study quality was evaluated using the Newcastle-Ottawa scale, which appraises the selection process, comparability, and outcome measurement. A total of five studies with 165,490 participants were included. Two studies (Helier et al., 2007; Trabert et al., 2011) found no statistically significant correlation between red meat consumption and endometriosis. Conversely, three studies (Yamamoto et al., 2018; Parazzini et al., 2004; Dougan et al., 2024) identified a positive association, with increased red meat consumption correlating with an elevated risk of endometriosis, especially processed meats. The studies that reported positive correlations noted that the association was particularly strong among women with infertility. Study quality was generally strong, highlighting the reliability of the findings despite some inconsistencies across studies. Our findings suggest a potential link between red meat consumption and endometriosis, though the relationship is not uniform across all studies. While further research is necessary to elucidate the underlying mechanisms, dietary modifications, particularly reducing red meat intake, may help mitigate endometriosis risk and alleviate symptoms in susceptible populations.

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Diop, Ahmed. Country Diagnostic Study – Senegal. Islamic Development Bank Institute, 2021. http://dx.doi.org/10.55780/rp21003.

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The Country Diagnostic Study (CDS) for Senegal uses the Hausmann-Rodrik-Velasco growth diagnostics model to identify the binding constraints being faced in its quest for higher and more sustained economic growth and make recommendations to relax these constraints. Hence, the findings of the CDS can help the Islamic Development Bank in identifying areas where it can have a greater impact and provide an evidence-basis to support the development of the Member Country Partnership Strategy. After decades of subdued and highly volatile economic growth due to heavy dependence on primary commodities and low productivity, Senegal experienced an unprecedented growth acceleration from 2014 to 2019. However, there appeared to be a weak correlation between economic growth and jobs creation. In addition, about 90 percent of non-agricultural employment is estimated to be informal. The national poverty rate decreased by 5 percentage points between 2011 and 2018. Nonetheless, the absolute number of poor people has increased. Furthermore, regional disparities are persistent. Despite the country’s solid performance in the field of governance, further simplification and transparency of business procedures and regulations will be critical in addressing the challenge of informality. Efforts to address informality in the economy should also target the issue of access to finance through the design of financing mechanisms based on specific needs assessment and risk management tools. Senegal will also need to create the conditions for higher competitiveness and follow upgrading trajectories in global and regional value chains. In this respect, both physical and digital connectivity will be essential.

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Eberlein, Robert, and Sven Düzel. Fatigue lifetime analysis of POM gears for generalized tooth root shapes. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.gs.ms.1.

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The current calculation methods for determining the tooth root load capacity of polymer gears (e.g., VDI 2736) are based on the same assumptions as those for steel gears. However, due to the non-linear material behavior, temperature, and rate dependency of polymers, these predictions are often inaccurate. A previous study employed rate-dependent nonlinear viscoplastic finite element (FE) modelling of polyoxymethylene (POM) to quantify material influences not considered in standard metal gear assumptions. A lifetime model was developed and validated to predict tooth root fracture based on rotational speed for a constant tooth root geometry. In this study, the existing damage model is adapted and validated to include the dependency on notch (tooth root) geometry. The extension of the model to two damage parameters allows for a geometry-independent representation of the nonlinear speed dependency of tooth root breakage. This correlative modelling approach incorporates two independent damage mechanisms inside the material which lead to tooth root breakage failure of the gear. To map these mechanisms, local material states at the crack initiation point are used as damage parameters. Calibration of the bi-parametric damage model with experimental data shows that model predictions fall within the experimental scatter. Further research is ongoing to extend the damage model regarding generalized torque loading conditions.

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Nguyen, Dien. The Isospin Dependence of Short Range Correlations through Inclusive Electron Scattering from 40Ca and 48Ca. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1599763.

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