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Journal articles on the topic 'Correlation dependence'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

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, insti

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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

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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 e

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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 th

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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 a

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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 cas

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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

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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

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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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Cruz-Torres, R., A. Schmidt, G. A. Miller, et al. "Short range correlations and the isospin dependence of nuclear correlation functions." Physics Letters B 785 (October 2018): 304–8. http://dx.doi.org/10.1016/j.physletb.2018.07.069.

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12

Feng, Jian, Lang Yu, and Rui Ma. "AGCN-T: A Traffic Flow Prediction Model for Spatial-Temporal Network Dynamics." Journal of Advanced Transportation 2022 (May 29, 2022): 1–12. http://dx.doi.org/10.1155/2022/1217588.

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Traffic prediction is the key for Intelligent Transport Systems (ITS) to achieve traffic control and traffic guidance, and the key challenge is that traffic flow has complex spatial-temporal dependence and nonlinear dynamics. Aiming at the lack of the ability to model complex and dynamic spatial-temporal dependencies in current research, this paper proposes a traffic flow prediction model Attention based Graph Convolution Network (GCN) and Transformer (AGCN-T) to model spatial-temporal network dynamics of traffic flow, which can extract dynamic spatial dependence and long-distance temporal dep

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Liu, Qinming, Zhinan Li, Tangbin Xia, Minchih Hsieh, and Jiaxiang Li. "Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions." Energies 15, no. 2 (2022): 625. http://dx.doi.org/10.3390/en15020625.

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Wind turbines have a wide range of applications as the main equipment for wind-power generation because of the rapid development of technology. It is very important to select a reasonable maintenance strategy to reduce the operation and maintenance costs of wind turbines. Traditional maintenance does not consider the environmental benefits. Thus, for the maintenance problems of wind turbines, an opportunistic maintenance strategy that considers structural correlations, random correlations, and carbon emissions is proposed. First, a Weibull distribution is used to describe the deterioration tre

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Sungur, Engin A., and Jessica M. Orth. "Understanding Directional Dependence Through Angular Correlation." Communications in Statistics - Theory and Methods 43, no. 19 (2014): 4143–55. http://dx.doi.org/10.1080/03610926.2012.707735.

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15

Ma, Chunsheng. "Correlation models with long-range dependence." Journal of Applied Probability 39, no. 2 (2002): 370–82. http://dx.doi.org/10.1239/jap/1025131432.

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This paper is concerned with the correlation structure of a stationary discrete time-series with long memory or long-range dependence. Given a sequence of bounded variation, we obtain necessary and sufficient conditions for a function generated from the sequence to be a proper correlation function. These conditions are applied to derive various slowly decaying correlation models. To obtain correlation models with short-range dependence from an absolutely summable sequence, a simple method is introduced.

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Hong, Suklyun, and G. D. Mahan. "Correlation energy and its temperature dependence." Physical Review B 53, no. 3 (1996): 1215–24. http://dx.doi.org/10.1103/physrevb.53.1215.

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Ma, Chunsheng. "Correlation models with long-range dependence." Journal of Applied Probability 39, no. 02 (2002): 370–82. http://dx.doi.org/10.1017/s0021900200022579.

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This paper is concerned with the correlation structure of a stationary discrete time-series with long memory or long-range dependence. Given a sequence of bounded variation, we obtain necessary and sufficient conditions for a function generated from the sequence to be a proper correlation function. These conditions are applied to derive various slowly decaying correlation models. To obtain correlation models with short-range dependence from an absolutely summable sequence, a simple method is introduced.

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Petroliagkis, Thomas I. "Estimations of statistical dependence as joint return period modulator of compound events – Part 1: Storm surge and wave height." Natural Hazards and Earth System Sciences 18, no. 7 (2018): 1937–55. http://dx.doi.org/10.5194/nhess-18-1937-2018.

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Abstract. The possibility of utilizing statistical dependence methods in coastal flood hazard calculations is investigated since flood risk is rarely a function of just one source variable but usually two or more. Source variables in most cases are not independent as they may be driven by the same weather event, so their dependence, which is capable of modulating their joint return period, has to be estimated before the calculation of their joint probability. Dependence and correlation may differ substantially from one another since dependence is focused heavily on tail (extreme) percentiles.

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Wang, Fan, and Heng Li. "On the need for dependence characterization in random fields: Findings from cone penetration test (CPT) data." Canadian Geotechnical Journal 56, no. 5 (2019): 710–19. http://dx.doi.org/10.1139/cgj-2018-0164.

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Random field theory is widely used to model spatial variability of soil properties. However, random field modeling focuses mainly on the estimate of spatial correlation structure. The dependence structure that is necessary to construct the joint probability distribution over a random field is usually not characterized. The aim of this research is twofold. First, this paper focuses on characterizing the dependence structure underlying a random field based on cone penetration test (CPT) data. The copula approach is adopted to represent dependencies and the best-fit dependence (copulas) are ident

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Jenison, Rick L., and Richard A. Reale. "The Shape of Neural Dependence." Neural Computation 16, no. 4 (2004): 665–72. http://dx.doi.org/10.1162/089976604322860659.

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The product-moment correlation coefficient is often viewed as a natural measure of dependence. However, this equivalence applies only in the context of elliptical distributions, most commonly the multivariate gaussian, where linear correlation indeed sufficiently describes the underlying dependence structure. Should the true probability distributions deviate from those with elliptical contours, linear correlation may convey misleading information on the actual underlying dependencies. It is often the case that probability distributions other than the gaussian distribution are necessary to prop

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Metzler, A. "State dependent correlations in the Vasicek default model." Dependence Modeling 8, no. 1 (2020): 298–329. http://dx.doi.org/10.1515/demo-2020-0017.

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AbstractThis paper incorporates state dependent correlations (those that vary systematically with the state of the economy) into the Vasicek default model. Other approaches to randomizing correlation in the Vasicek model have either assumed that correlation is independent of the systematic risk factor (zero state dependence) or is an explicit function of the systematic risk factor (perfect state dependence). By contrast, our approach allows for an arbitrary degree of state dependence and includes both zero and perfect state dependence as special cases. This is accomplished by expressing the fa

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Masseran, Nurulkamal, and Saiful Izzuan Hussain. "Copula Modelling on the Dynamic Dependence Structure of Multiple Air Pollutant Variables." Mathematics 8, no. 11 (2020): 1910. http://dx.doi.org/10.3390/math8111910.

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A correlation analysis of pollutant variables provides comprehensive information on dependency behaviour and is thus useful in relating the risk and consequences of pollution events. However, common correlation measurements fail to capture the various properties of air pollution data, such as their non-normal distribution, heavy tails, and dynamic changes over time. Hence, they cannot generate highly accurate information. To overcome this issue, this study proposes a combination of the Generalized Autoregressive Conditional Heteroskedasticity model, Generalized Pareto distribution, and stochas

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Le, Zhang, Bian Haihong, and Chen Guohua. "Using an Improved Joint Normal Transform Method for Modeling Stochastic Dependence in Power System." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 380–85. http://dx.doi.org/10.2174/1874129001509010380.

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The dependence factors in power systems should be considered in stochastic power flow computation, so Joint Normal Transform (JNT), belonging to the copula function technology, is improved to model these dependences. Firstly, the procedure of traditional JNT method is introduced and the principle of correlation structure’s remaining unchanged is analyzed combined with the properties of rank correlations when JNT method is utilized in dependence modelling. Then, an improved JNT sampling method is proposed to raise sampling efficiency by applying Orthogonal Transformation according to the charac

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Giraldo-Jiménez, Claudia F., Ana M. Jembuel-Giraldo, Juan C. Galeano-Zapata, et al. "Skeletal Muscle Symptoms in Students of Health Majors with Dependence on Mobile Devices: An Observational Descriptive Study." Applied Sciences 12, no. 17 (2022): 8736. http://dx.doi.org/10.3390/app12178736.

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In the world, there are more mobile phone lines than people. These numbers have been increasing, especially in university students, due to the academic and social demands of a globalized and interconnected world in social networks, raising concerns about the health effects of mobile device overuse. The goal of this study was to establish the relationship between musculoskeletal symptoms in students at the health department of an institution of higher education and their dependence on mobile devices. An observational, descriptive study in which 334 interviews were presented, of which 244 were s

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Avanzi, Benjamin, Greg Taylor, and Bernard Wong. "CORRELATIONS BETWEEN INSURANCE LINES OF BUSINESS: AN ILLUSION OR A REAL PHENOMENON? SOME METHODOLOGICAL CONSIDERATIONS." ASTIN Bulletin 46, no. 2 (2016): 225–63. http://dx.doi.org/10.1017/asb.2015.31.

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AbstractThis paper is concerned with dependency between business segments in the non-life insurance industry. When considering the business of an insurance company at the aggregate level, dependence structures can have a major impact in several areas of Enterprise Risk Management, such as in claims reserving and capital modelling. The accurate estimation of the diversification benefits related to the dependence structures between lines of business (LoBs) is crucial for (i) capital efficiency, as one should avoid holding unnecessarily high levels of capital, and (ii) solvency of the insurance c

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Kusumadewi, Andrian Fajar, Jennifer Andina, Hermanuaji Sihageng, and Muhammad Jordan Diandraputra. "Validity of severity of dependence scale-Indonesia in patients with drug and alcohol dependence." International Journal of Public Health Science (IJPHS) 13, no. 2 (2025): 912–18. https://doi.org/10.11591/ijphs.v13i2.23376.

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A quick and self-administrative screening tool to detect dependence on various substances is vital in the early detection of multiple substance dependence. This study aimed to validate the severity of the dependence scale Indonesian version (SDS-Ina) in a sample of clinically diagnosed substance-related disorder subjects. The study was an observational study and rapid assessment of suspected patients with drug and alcohol dependence in an outpatient psychiatric unit in Yogyakarta, Indonesia. The translated severity of dependence scale-Indonesia (SDS-Ina) questionnaire was given out to 65 subje

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Yao, Can Zhong, Bo Yi Sun, and Ji Nan Lin. "A study of correlation between investor sentiment and stock market based on Copula model." Kybernetes 46, no. 3 (2017): 550–71. http://dx.doi.org/10.1108/k-10-2016-0297.

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Purpose This paper aims to capture tail dependence between sentiment index and Shanghai composite index (SCI) by proposing a sentiment index based on text mining. Design/methodology/approach Online text mining and the Copula model were used in this study. Findings First, the paper finds herding effect in the expression of investors’ sentiment from online text data, and the usage occurrence frequency of most vocabulary is less correlative with SCI. Second, given these two features, the paper uses weighted divide-and-conquer algorithm to construct a sentiment index. Finally, because of multivari

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Fonte, Anibal, and Rui Mota-Cardoso. "MAST e AUDIT. Avaliação de Características Psicométricas em Doentes com Dependência de Álcool." Acta Médica Portuguesa 26, no. 4 (2013): 335. http://dx.doi.org/10.20344/amp.4801.

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Introduction/Objective: To evaluate the correlation between scores on the MAST and AUDIT in patients hospitalized for detoxification from alcohol dependence and consider if the intensity of those scores reflect the severity of dependence and problems related to alcohol use.Material and Methods: Correlational study. Patients admitted for the first time for alcohol dependence treatment. In addition to a structured interview, the MAST and the AUDIT, SADD was used to assess the degree of alcohol dependence and the APQ to assess the problems related to alcohol consumption.Results: The internal cons

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Lee, Shu-Chun. "PERCEPTUAL-POSTURAL CORRELATION OF VISUAL DEPENDENCE IN HEALTHY ADULTS ACROSS AGE GROUPS." International Journal of Physiotherapy and Research 5, no. 3 (2017): 2045–50. http://dx.doi.org/10.16965/ijpr.2017.147.

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Basimov, M. "Errors of correlation method on the example of a specific cause parameter (love for children), her non-linear influence on others professional competencies of the teacher." Bulletin of Science and Practice, no. 11 (November 15, 2017): 515–32. https://doi.org/10.5281/zenodo.1049178.

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The article raises the question of studying statistical dependences in psychological research. Psychologists in the vast majority on the basis of experimental data offer only the interpretation of linear dependences. In the last 20-25 years are often studied the complex processes that do not fit into the linear models. And psychologists choose (consciously or not) way of describing weak linear dependencies (where virtually not detected strong dependencies ). To do this, they have used test hypotheses (=0) for the correlation coefficients. Correlations such are indeed many. The article analyzes

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Antonov, A. "DEPENDENCIES BETWEEN MODEL INDICATORS OF THE BASIC AND THE SPECIALIZED SPEED IN HOCKEY PLAYERS AGED 13-14." Trakia Journal of Sciences 18, Suppl.1 (2020): 647–57. http://dx.doi.org/10.15547/tjs.2020.s.01.104.

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PURPOSE The aim of our research is to establish the degrees and directions of dependence between the main forms of manifestation of the basic and specialized speed. The subject was 20 boys born in 2005 and 2006. METHODS Through tests and variance analysis (VA) we determine the level of the main forms of the basic and specialized speed, and through correlation analysis (CA) and intercriteria analysis (ICrA) we establish the existence of possible connections and degrees of dependence between them. RESULTS: By using VA we were able to characterize the average level, the level of dispersion and th

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Deng, Wei, and Jun Wang. "Nonlinear Behaviors of Tail Dependence and Cross-Correlation of Financial Time Series Model." Abstract and Applied Analysis 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/965081.

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Nonlinear behaviors of tail dependence and cross-correlation of financial time series are reproduced and investigated by stochastic voter dynamic system. The voter process is a continuous-time Markov process and is one of the interacting dynamic systems. The tail dependence of return time series for pairs of Chinese stock markets and the proposed financial models is studied by copula analysis, in an attempt to detect and illustrate the existence of relevant correlation relationships. Further, the multifractality of cross-correlations for return series is studied by multifractal detrended cross

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33

Gregory, Don A., Jeffrey A. Loudin, and Francis T. S. Yu. "Illumination dependence of the joint transform correlation." Applied Optics 28, no. 16 (1989): 3288. http://dx.doi.org/10.1364/ao.28.003288.

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Schlei, B. R., and N. Xu. "m⊥dependence of Bose-Einstein correlation radii." Physical Review C 54, no. 5 (1996): R2155—R2158. http://dx.doi.org/10.1103/physrevc.54.r2155.

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Brüggemann, Julia, and Christoph R. Jacob. "Spin-state dependence of exchange–correlation holes." Faraday Discussions 224 (2020): 56–78. http://dx.doi.org/10.1039/d0fd00060d.

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Kang, Zhong-Bo, and Jian-Wei Qiu. "SCALE DEPENDENCE OF TWIST-3 CORRELATION FUNCTIONS." International Journal of Modern Physics: Conference Series 04 (January 2011): 146–56. http://dx.doi.org/10.1142/s2010194511001656.

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In this talk, we introduce two sets of twist-3 quark-gluon correlation functions that are relevant to transverse single spin asymmetries, and present corresponding evolution equations at the leading order in strong coupling constant, αs. The similarities and differences between the evolution of the leading power parton distributions and that of the twist-3 multiparton correlation functions are also discussed.

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Denning, R. G., A. J. Berry, and C. S. McCaw. "Ligand dependence of the correlation crystal field." Physical Review B 57, no. 4 (1998): R2021—R2024. http://dx.doi.org/10.1103/physrevb.57.r2021.

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Edrei, I., and M. Kaveh. "Wavelength dependence of static intensity correlation functions." Physical Review B 38, no. 1 (1988): 950–53. http://dx.doi.org/10.1103/physrevb.38.950.

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Pączek, Kewin, Damian Jelito, Marcin Pitera, and Agnieszka Wyłomańska. "Conditional correlation estimation and serial dependence identification." Journal of Computational and Applied Mathematics 468 (November 2025): 116633. https://doi.org/10.1016/j.cam.2025.116633.

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Sánchez Silverio, Víctor, Vanesa Abuín Porras, and Isabel Rodríguez Costa. "Dynamic Balance Performance In Relation To the Dependence in Activities of Daily Living: A Cross-Sectional Study in Stroke Patients." Journal of Clinical Research and Reports 4, no. 5 (2020): 01–04. http://dx.doi.org/10.31579/2690-1919/103.

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Aim: to determine if dynamic balance is related to activities of daily living (ADL) dependence in stroke patients. Methods: a cross-sectional study was carried out. The Barthel index (BI) was used to assess ADL dependence. The Timed Up and Go Test (TUG) and the Four Square Step Test (FSST) were used to evaluate dynamic balance. A Spearman correlation was used assuming a data abnormality in the performance of TUG and FSST and considering a significance of p<0.05. Results: 62 stroke patients were evaluated. The BI showed correlations with the performance of the TUG and the FSST. These correla

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ARIMA, AKITO. "CORRELATION BETWEEN EIGENVALUES AND SORTED DIAGONAL MATRIX ELEMENTS OF A LARGE DIMENSIONAL MATRIX." International Journal of Modern Physics E 17, supp01 (2008): 334–41. http://dx.doi.org/10.1142/s0218301308011963.

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Functional dependences of eigenvalues as functions of sorted diagonal elements are given for realistic nuclear shell model (NSM) hamiltonian, the uniform distribution hamiltonian and the GOE hamiltonian. In the NSM case, the dependence is found to be linear. We discuss extrapolation methods for more accurate predictions for low-lying states.

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Rovithis, Michael, Sofia Koukouli, Aristidis Fouskis, et al. "Empathy and Mobile Phone Dependence in Nursing: A Cross-Sectional Study in a Public Hospital of the Island of Crete, Greece." Healthcare 9, no. 8 (2021): 975. http://dx.doi.org/10.3390/healthcare9080975.

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This study examined the relationship between empathy and mobile phone dependence levels of the nursing staff in a public hospital in the island of Crete, using a cross-sectional study design. Data from 109 staff nurses and healthcare assistants (HCAs) were collected via the Greek version of the Mobile Phone Dependence Questionnaire (MPDQ) and the Toronto Empathy Questionnaire (TEQ). Multiple linear regression was used to determine the correlation between empathy and mobile phone dependency. The total mean score for TEQ was 33.9 (±5.7). Accordingly, the total mean score for MPDQ was 22.9 (±6.1)

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Kim, Jong-Min, Hojin Jung, and Brian Yang Brian Yang. "Dependence Risk of Bank Equity Returns: A Vine Copula Approach." Asia Europe Perspective Association 20, no. 3 (2023): 41–52. https://doi.org/10.31203/aepa.2023.20.3.003.

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Measuring the dependence risk of bank equity returns is valuable for gauging the stability of the financial system, particularly during periods of financial crises and events such as the COVID-19 pandemic. To achieve this objective, we introduce a more advanced approach than a simple linear correlation to evaluate the dependence risk. This study delves into the assessment of dependence risk among bank equity returns, categorized into 5 portfolios. Specifically, we analyze the multivariate dependence structures of these portfolios through the application of a vine copula. Moreover, symmetric an

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Asadova, G. Sh. "Analysis of cases associated with occurrence of elastic behavior of subsurface rocks while estimation of wellbore stability." Azerbaijan Oil Industry, no. 02 (February 15, 2022): 22–26. http://dx.doi.org/10.37474/0365-8554/2022-02-22-26.

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Due to the generalization of the studies on the interaction of elastic behavior of subsurface rocks and carried out static analysis, the dependence of the speed of longitudinal waves on the subsurface rocks’ density has been obtained. The dependence of Poisson coefficient on the lithologic features of the rocks has been specified. The poor interaction by the well in a whole in the dependence of Poisson coefficient on the rock density is observed. Moreover, analogical dependences developed on the data of specific rocks are characterized with the closely connected correlation.

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Lawuobahsumo, Kokulo K., Bernardina Algieri, Leonardo Iania, and Arturo Leccadito. "Exploring Dependence Relationships between Bitcoin and Commodity Returns: An Assessment Using the Gerber Cross-Correlation." Commodities 1, no. 1 (2022): 34–49. http://dx.doi.org/10.3390/commodities1010004.

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We use a robust measure of non-linear dependence, the Gerber cross-correlation statistic, to study the cross-dependence between the returns on Bitcoin and a set of commodities, namely wheat, gold, platinum and crude oil WTI. The Gerber statistic enables us to obtain a more robust co-movement measure since it is neither affected by extremely large nor small movements that characterise financial time series; thus, it strips out noise from the data and allows us to capture effective co-movements between series when the movements are “substantial”. Focusing on the period 2014–2022, we construct th

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АНЦИБОР, Людмила, та Анастасия КОВРОВА. "Жертвенная позиция личности: взаимосвязь с доменами ранних дезадаптивных схем у взрослых". Psihologie. Revista științifico-practică = Psychology. Scientific-practical journal 43, № 2 (2023): 32–44. http://dx.doi.org/10.46728/pspj.2023.v43.i2.p32-44.

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The article contains the results of experimental research on the correlations between 5 domains of early maladaptive schemas and the peculiarities of personality victim position. A total of 262 adults participated in the experiment. Significant positive correlations between the indicated variables were identified. The personality victimhood has a significant positive correlation with all 5 domains of early maladaptive schemas (the strongest correlation was identifi ed with Domain IV "Dependence on others"). Different types of manifestation of the victim pozition of personality are most positiv

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Bentoumi, Rachid, Mhamed Mesfioui, and Mayer Alvo. "Dependence measure for length-biased survival data using copulas." Dependence Modeling 7, no. 1 (2019): 348–64. http://dx.doi.org/10.1515/demo-2019-0018.

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AbstractThe linear correlation coefficient of Bravais-Pearson is considered a powerful indicator when the dependency relationship is linear and the error variate is normally distributed. Unfortunately in finance and in survival analysis the dependency relationship may not be linear. In such case, the use of rank-based measures of dependence, like Kendall’s tau or Spearman rho are recommended. In this direction, under length-biased sampling, measures of the degree of dependence between the survival time and the covariates appear to have not received much intention in the literature. Our goal in

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Supriyanto, Dio Alief, and Tria Damayanti. "Correlation of Smoking Habit and Level of Nicotine Dependence in University Students." Respiratory Science 3, no. 2 (2023): 94–102. http://dx.doi.org/10.36497/respirsci.v3i2.54.

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Background: Smoking habits are still a global problem. One of the harmful compounds in cigarettes is nicotine which gives a dependence effect on its users because long-term exposure can cause desensitisation of nicotinic acetyhlcoline receptor. This study aimed to determine the correlation between degree of smoking habit and level of nicotine dependence in actively smoking university students. Method: A cross-sectional study was conducted using questionnaires, consisted of relating factors questionnaire (age, BMI, academic major, allowance, family smoking habits, and social environment), degre

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Smith, Matthew A., Xiaoxuan Jia, Amin Zandvakili, and Adam Kohn. "Laminar dependence of neuronal correlations in visual cortex." Journal of Neurophysiology 109, no. 4 (2013): 940–47. http://dx.doi.org/10.1152/jn.00846.2012.

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Neuronal responses are correlated on a range of timescales. Correlations can affect population coding and may play an important role in cortical function. Correlations are known to depend on stimulus drive, behavioral context, and experience, but the mechanisms that determine their properties are poorly understood. Here we make use of the laminar organization of cortex, with its variations in sources of input, local circuit architecture, and neuronal properties, to test whether networks engaged in similar functions but with distinct properties generate different patterns of correlation. We fin

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Song, Shuai, Jing Liu, Yongjiu Qian, Fang Zhang, and Gang Wu. "Dependence analysis on the seismic demands of typical components of a concrete continuous girder bridge with the copula technique." Advances in Structural Engineering 21, no. 12 (2018): 1826–39. http://dx.doi.org/10.1177/1369433218757234.

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The seismic reliability of a bridge system is significantly affected by the dependence among typical bridge components. This study demonstrates the process of using a copula technique to describe the nonlinear dependence among component seismic demands isolated from their marginal probability distributions. A suite of 100 bridge-ground motion samples were developed with the Latin hypercube sampling approach and bin approach. Based on the incremental dynamic analysis, the tail dependence among component seismic demands at different intensity levels was analyzed with the best-fitting copula func

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