Relevant bibliographies by topics / Marginal parameters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Marginal parameters'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Marginal parameters"

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Hudson, Suzanne, and Paul W. Vos. "Marginal information for expectation parameters." Canadian Journal of Statistics 28, no. 4 (2000): 875–86. http://dx.doi.org/10.2307/3315922.

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Kharroubi, Samer A. "Approximate marginal densities of independent parameters." Statistics 46, no. 4 (2011): 459–71. http://dx.doi.org/10.1080/02331888.2010.540667.

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De Bernardo, Maddalena, Palmiro Cornetta, Giuseppe Marotta, and Nicola Rosa. "Corneal biomechanical parameters in pellucid marginal degeneration." Journal of Current Ophthalmology 30, no. 3 (2018): 280. http://dx.doi.org/10.1016/j.joco.2018.06.002.

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Mishra, Ambika P., Nicol S. Harper, and Jan W. H. Schnupp. "Exploring the distribution of statistical feature parameters for natural sound textures." PLOS ONE 16, no. 6 (2021): e0238960. http://dx.doi.org/10.1371/journal.pone.0238960.

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Sounds like “running water” and “buzzing bees” are classes of sounds which are a collective result of many similar acoustic events and are known as “sound textures”. A recent psychoacoustic study using sound textures has reported that natural sounding textures can be synthesized from white noise by imposing statistical features such as marginals and correlations computed from the outputs of cochlear models responding to the textures. The outputs being the envelopes of bandpass filter responses, the ‘cochlear envelope’. This suggests that the perceptual qualities of many natural sounds derive d
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AL-Moisheer, A. S., Refah Mohammed Alotaibi, Ghadah A. Alomani, and H. Rezk. "Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation." Mathematical Problems in Engineering 2020 (March 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/5234601.

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In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables x and y, the joint moment-generating function, and the correlation between x and y. The real dataset has been analyzed. We observed that the mixture bivariate inverse Weibull distribution provides a better fit than the other model.
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Domke, J. "Learning Graphical Model Parameters with Approximate Marginal Inference." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 10 (2013): 2454–67. http://dx.doi.org/10.1109/tpami.2013.31.

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Evans, Robin J., and Thomas S. Richardson. "Marginal log-linear parameters for graphical Markov models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 75, no. 4 (2013): 743–68. http://dx.doi.org/10.1111/rssb.12020.

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Allenby, Greg M., and Peter E. Rossi. "A marginal-predictive approach to identifying household parameters." Marketing Letters 4, no. 3 (1993): 227–39. http://dx.doi.org/10.1007/bf00999229.

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El-Morshedy, Mahmoud, and Mohamed Eliwa. "A bivariate probability generator for the odd generalized exponential model: Mathematical structure and data fitting." Filomat 38, no. 3 (2024): 1109–33. http://dx.doi.org/10.2298/fil2403109e.

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The generalized exponential (GE) distribution is the well-established generalization of the exponential distribution in statistical literature. Tahir et al. (2015) proposed a flexible probability generator called the odd generalized exponential-G (OGE-G) family of distributions. In this article, we propose a bivariate extension of the OGE-G class, in the so-called the bivariate odd generalized exponential-G (BOGE-G) family of distributions, whose marginal distributions are OGE-G families. Important mathematical and statistical properties of the BOGE-G family including joint density function wi
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Taufer, Emanuele. "Estimation of marginal parameters of SUP-OU processes with long range dependence." International Journal of Advanced Statistics and Probability 4, no. 2 (2016): 102. http://dx.doi.org/10.14419/ijasp.v4i2.6722.

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Superpositions of Ornstein Uhlenbeck processes provide convenient ways to build stationary processes with given marginal distributions and long range dependence. After reviewing some of the basic features, we present several examples of processes with non Gaussian marginal distributions. Estimation of the parameters of the marginal distribution is undertaken by means of a characteristic function technique. We provide the relevant asymptotic theory as well as results of simulations and real data applications.
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Dissertations / Theses on the topic "Marginal parameters"

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NICOLUSSI, FEDERICA. "Marginal parametrizations for conditional independence models and graphical models for categorical data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/43679.

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The graphical models (GM) for categorical data are models useful to representing conditional independencies through graphs. The parametric marginal models for categorical data have useful properties for the asymptotic theory. This work is focused on nding which GMs can be represented by marginal parametrizations. Following theorem 1 of Bergsma, Rudas and Németh [9], we have proposed a method to identify when a GM is parametrizable according to a marginal model. We have applied this method to the four types of GMs for chain graphs, summarized by Drton [22]. In particular, with regard to
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Modenesi, Bernardo Andrade Lyrio. "Bounds on policy relevant parameters with discrete policy variation." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13857.

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Submitted by Bernardo Andrade Lyrio Modenesi (bmodenesi@gmail.com) on 2015-07-22T21:31:40Z No. of bitstreams: 1 modenesi_thesis_v4whatseparatemen.pdf: 819403 bytes, checksum: d0a2f018fe44526173ae5b3f9e4c13a9 (MD5)<br>Rejected by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br), reason: Prezado Bernardo bom dia, Nome da fundação e escola em negrito, o trabalho é em inglês vem primeiro o ABSTRACT depois o RESUMO e para aprovar o trabalho é necessário o seu orientador encaminhar e-mail para o cmcd@fgv.br com o novo Título autorizando o protocolo da versão final. Aguardo! Grata. Suzi
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野口, 裕之, та Hiroyuki G. NOGUCHI. "<原著>共通被験者デザインにおける等化係数の周辺最尤法による推定". 名古屋大学教育学部, 1990. http://hdl.handle.net/2237/3827.

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Cagidiaco, Edoardo Ferrari. "Periodontal evaluation of restorative and prosthodontic margins." Doctoral thesis, Università di Siena, 2021. http://hdl.handle.net/11365/1126080.

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Prosthodontic and periodontal correlation on teeth In the daily dental practice 3 fundamental/empiric/clinical parameters have a role to establish the clinical success of prosthodontic treatment: function, aesthetic and longevity of the restorations. But, from a scientific point of view, how do we rate the success of the restorations? When analyzing the existing literature, it can be noted that many authors focus their attention on the precision of the margin, to pursuit a small gap between the abutment and the crown, and to achieve the clinical success. Christensen et al.1 and Mc Lean &am
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Thompson, Vanessa Marie. "Marginal Bayesian parameter estimation in the multidimensional generalized graded unfolding model." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53411.

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The Multidimensional Generalized Graded Unfolding Model (MGGUM) is a proximity-based, noncompensatory item response theory (IRT) model with applications in the context of attitude, personality, and preference measurement. Model development used fully Bayesian Markov Chain Monte Carlo (MCMC) parameter estimation (Roberts, Jun, Thompson, & Shim, 2009a; Roberts & Shim, 2010). Challenges can arise while estimating MGGUM parameters using MCMC where the meaning of dimensions may switch during the estimation process and difficulties in obtaining informative starting values may lead to increased ide
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Do, Hoan. "Parameter Recovery for the Four-Parameter Unidimensional Binary IRT Model: A Comparison of Marginal Maximum Likelihood and Markov Chain Monte Carlo Approaches." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1616202942083398.

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Wu, Yi-Fang. "Accuracy and variability of item parameter estimates from marginal maximum a posteriori estimation and Bayesian inference via Gibbs samplers." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/5879.

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Item response theory (IRT) uses a family of statistical models for estimating stable characteristics of items and examinees and defining how these characteristics interact in describing item and test performance. With a focus on the three-parameter logistic IRT (Birnbaum, 1968; Lord, 1980) model, the current study examines the accuracy and variability of the item parameter estimates from the marginal maximum a posteriori estimation via an expectation-maximization algorithm (MMAP/EM) and the Markov chain Monte Carlo Gibbs sampling (MCMC/GS) approach. In the study, the various factors which have
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Svoboda, Ondřej. "Využití Poissonova rozdělení pro předpovědi výsledků sportovních utkání." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359303.

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The aim of this master thesis is to verify possibility to use Poisson distribution for predicting soccer matches. At first for analysis is applied the original model from English statisticians Mark J. Dixon and Stuart G. Coles from 1997. Thereafter the model is extended in the thesis. All models are based on the maximum likelihood method. Chosen league for deducing conclusions is the first English league - Premier League. The matches are played in the period from season 2004/2005 to half of season 2015/2016. For identification of models performance are used the most market odds from American b
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Coppola, Gregory Francis. "Iterative parameter mixing for distributed large-margin training of structured predictors for natural language processing." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10451.

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The development of distributed training strategies for statistical prediction functions is important for applications of machine learning, generally, and the development of distributed structured prediction training strategies is important for natural language processing (NLP), in particular. With ever-growing data sets this is, first, because, it is easier to increase computational capacity by adding more processor nodes than it is to increase the power of individual processor nodes, and, second, because data sets are often collected and stored in different locations. Iterative parameter mixi
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Sivaramakrishnan, Jayaram. "Unsupervised probabilistic and kernel regression methods for anomaly detection and parameter margin prediction of industrial design." Thesis, Sivaramakrishnan, Jayaram (2021) Unsupervised probabilistic and kernel regression methods for anomaly detection and parameter margin prediction of industrial design. PhD thesis, Murdoch University, 2021. https://researchrepository.murdoch.edu.au/id/eprint/62536/.

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One of the significant challenges facing industrial plant design is ensuring the integrity of massive design datasets generated during the project execution. This work is motivated by personal experience of data integrity issues during projects caused by insufficient automation affecting the quality of deliverables. Therefore, this project sought automated solutions for detecting anomalies in industrial design data in the form of outliers. Several novel methods are proposed, based on the Hidden Markov Model (HMM) and a modified General Regression Neural Network called the Margin-Based GRNN (MB
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Books on the topic "Marginal parameters"

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Heikki, Jussila, Mutambirwa Chris C, Majoral i. Moliné Roser, and International Geographical Union, eds. Marginality in space--past, present and future: Theoretical and methodological aspects of cultural, social and economic parameters of marginal and critical regions. Ashgate, 1999.

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(Editor), Heikki Jussila, Roser Majoral (Editor), and Chris C. Mutambirwa (Editor), eds. Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical ... of Marginal and Critical Regions). Ashgate Publishing, 1999.

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Majoral, Roser, Chris C. Mutambirwa, and Heikki Jussila. Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical Regions. Taylor & Francis Group, 2019.

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Majoral, Roser, Chris C. Mutambirwa, and Heikki Jussila. Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical Regions. Taylor & Francis Group, 2019.

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Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical Regions. Taylor & Francis Group, 2018.

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Majoral, Roser, Chris C. Mutambirwa, and Heikki Jussila. Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical Regions. Taylor & Francis Group, 2019.

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Majoral, Roser, Chris C. Mutambirwa, and Heikki Jussila. Marginality in Space - Past, Present and Future: Theoretical and Methodological Aspects of Cultural, Social and Economic Parameters of Marginal and Critical Regions. Taylor & Francis Group, 2019.

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Biggs, Kristian Pedersen. Spatial variability of the ambient noise field associated with the Marginal Ice Zone and its relationship to environmental parameters. 1988.

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Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Empirically Detecting Causality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0008.

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Phenomenological models mathematically describe relationships among empirically observed phenomena without attempting to explain underlying mechanisms. Within the context of NLTS, phenomenological modeling goes beyond phase space reconstruction to extract equations governing real-world system dynamics from a single or multiple observed time series. Phenomenological models provide several benefits. They can be used to characterize the dynamics of variable interactions; for example, whether an incremental increase in one variable drives a marginal increase/decrease in the growth rate of another,
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Bygrave, Lee A. Hardwiring Privacy. Edited by Roger Brownsword, Eloise Scotford, and Karen Yeung. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199680832.013.52.

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This chapter examines regulatory efforts to ensure that due account is taken of privacy and related interests in the development of information systems such that these interests are, in effect, integrated (or ‘hardwired’) into the resulting systems. Such efforts are typically described in terms of ‘Privacy by Design’ and ‘Data Protection by Design’. The basic argument advanced in the chapter is that such efforts are unlikely to gain broad traction, at least in the short term, despite current moves to provide them with increased legal support. This is due to a broad range of factors the most im
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Book chapters on the topic "Marginal parameters"

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Mariel, Petr, David Hoyos, Jürgen Meyerhoff, et al. "Calculating Marginal and Non-marginal Welfare Measures." In Environmental Valuation with Discrete Choice Experiments. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62669-3_7.

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AbstractThis chapter focuses on the calculation of marginal and non-marginal welfare measures. It outlines how the calculation of welfare measures is related to the specified model and the assumptions underlying that model. It further describes how the calculation of these measures is affected by the inclusion of preference heterogeneity, including the incorporation of interaction terms to capture observed preference heterogeneity or random parameters to capture unobserved preference heterogeneity. Finally, it discusses how these measures can be aggregated and compared.
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Kim, Seock-Ho, Yu Bao, Erin Horan, Meereem Kim, and Allan S. Cohen. "Gauss–Hermite Quadrature in Marginal Maximum Likelihood Estimation of Item Parameters." In Quantitative Psychology Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19977-1_4.

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Nzimande, T. N. M., Vimbayi G. P. Chimonyo, E. M. Wimalasiri, and Tafadzwanashe Mabhaudhi. "Using AquaCrop, DSSAT and the SIMPLE to Estimate Water Use of Underutilised Cereal in South Africa." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_9.

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Abstract The study compares yield, biomass and water use (WU) for maize, sorghum and millet simulated using three crop models of varying complexity: AquaCrop, DSSAT and the SIMPLE model. A standard set of crop parameters was used to develop crop files for all three models. Similar soil, climate and management descriptions from the Ukulinga Research Farm were used across the models. The performance of the three models was observed to be statistically different. Based on the mean bias error, all models overestimated yield, but the lowest overestimation was with AquaCrop (0.22 t/ha), followed by
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Wang, Kun. "Degradation Analysis and Reliability Assessment for Fiber Optic Gyroscope with 3-Axis Dependent Degradation Processes." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_50.

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Abstract As an important part of the inertial device in the ship strap-down inertial attitude measurement and navigation system, the high reliability of fiber optic gyroscopes (FOGs) is significant for the long-term precision of navigation systems and mission success for ships. Due to the combined impact of the external service environment and internal physical field, the performance of FOGs will gradually degrade. Although many studies are dedicated to the degradation analysis and reliability assessment of FOGs, few have considered the 3-axis dependent degradation processes of FOGs simultaneo
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Jeong, Hae-Duck J., Jong-Suk R. Lee, and Hyoung-Woo Park. "Teletraffic Generation of Self-Similar Processes with Arbitrary Marginal Distributions for Simulation: Analysis of Hurst Parameters." In Computational Science and Its Applications – ICCSA 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24767-8_87.

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Manzi, Hilda, and Joseph P. Gweyi-Onyango. "Agro-ecological Lower Midland Zones IV and V in Kenya Using GIS and Remote Sensing for Climate-Smart Crop Management." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_35.

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AbstractFood production in Kenya and Africa in recent past has experienced vagaries of weather fluctuations which ultimately have affected crop yield. Farming in Kenya is localized in specific Agro-ecological zones, hence understanding crop growth responses in particular regions is crucial in planning and management for purposes of accelerating adoption. A number of strategies for adoption and adaptation to changing weather patterns have been deployed yet only limited challenges have been partially addressed or managed. This chapter examines previous methods used in classifying agro-ecological
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Manzi, Hilda, and Joseph P. Gweyi-Onyango. "Agro-ecological Lower Midland Zones IV and V in Kenya Using GIS and Remote Sensing for Climate-Smart Crop Management." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42091-8_35-1.

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AbstractFood production in Kenya and Africa in recent past has experienced vagaries of weather fluctuations which ultimately have affected crop yield. Farming in Kenya is localized in specific Agro-ecological zones, hence understanding crop growth responses in particular regions is crucial in planning and management for purposes of accelerating adoption. A number of strategies for adoption and adaptation to changing weather patterns have been deployed yet only limited challenges have been partially addressed or managed. This chapter examines previous methods used in classifying agro-ecological
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Qin, Jing. "Connections Among Marginal Likelihood, Conditional Likelihood and Empirical Likelihood." In Biased Sampling, Over-identified Parameter Problems and Beyond. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4856-2_18.

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Soh, Y. C., and Y. K. Foo. "Stability Margins of Perturbed Systems." In Robustness of Dynamic Systems with Parameter Uncertainties. Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-7268-3_2.

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Goshtasbpour, Shirin, and Fernando Perez-Cruz. "Optimization of Annealed Importance Sampling Hyperparameters." In Machine Learning and Knowledge Discovery in Databases. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26419-1_11.

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AbstractAnnealed Importance Sampling (AIS) is a popular algorithm used to estimates the intractable marginal likelihood of deep generative models. Although AIS is guaranteed to provide unbiased estimate for any set of hyperparameters, the common implementations rely on simple heuristics such as the geometric average bridging distributions between initial and the target distribution which affect the estimation performance when the computation budget is limited. In order to reduce the number of sampling iterations, we present a parameteric AIS process with flexible intermediary distributions def
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Conference papers on the topic "Marginal parameters"

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Merassi, A. A. "Narrowing the Launch and Capture Pulses for Detection of Marginal Defects." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0087.

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Abstract Customer-reported device failures that cannot be replicated during incoming retests present a significant challenge in semiconductor testing. These discrepancies often arise because customer applications subject devices to more extensive and prolonged stress conditions than standard final testing procedures allow. This paper presents a novel method for detecting subtle marginalities in main logic failures by modifying launch and capture pulses in transition delay patterns. Our approach enhances failure detection capabilities in failure analysis environments, particularly for marginal
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Laky, Daniel J., Radhakrishna Tumbalam Gooty, Tyler Jaffe, et al. "IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.137860.

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Modern power grids coordinate electricity production and consumption via multi-scale wholesale energy markets. Historically, levelized cost metrics were the de facto standard for techno-economic analyses of energy systems and comparison of technology options. However, these metrics neglect the complexity of energy infrastructure including the time-varying value of electricity. An emerging alternative is multi-period optimization, which considers the locational marginal price of electricity as input data (parameters). In this work, we present a general interface for multi-period optimization wi
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Presuel-Moreno, Francisco J., and Douglas Rourke. "Review of Galvanized Rebar Performance on G-109 Specimens after 9 Years." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09209.

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Abstract As part of the efforts toward achieving bridges with a service life of 100 plus years, a study was initiated almost nine years ago to assess the use of galvanized rebars. Three different reinforcing steel bars were used in this study: regular carbon steel rebar, galvanized rebar and Zn-4.9Al-0.1 misch metal bath bar “GF” (the last two are Zn coated bars). The specimens used to rank the rebars were ASTM G-109. Several concrete-mixes-series were prepared. Parameters varied: two water/cement ratios and the effect of two admixtures pozzolanic admixtures. Another variable was the shape of
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Horn, Joseph, Dooyong Lee, Junfeng Yang, and Chengjian He. "Parameter Optimization of Dynamic Inversion Control Laws for Shipboard Operations." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12070.

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Two approaches to gains optimization of dynamic inversion control laws have been developed to facilitate the shipboard operation of rotorcraft. The first approach is a frequency-based method to optimize the tradeoff between stability margins and disturbance rejection properties; the second approach uses direct optimization of gains to enhance tracking performance in the time domain. Comparative studies show that both methods tend to use high gain design for improvement of tracking error while rejecting airwake disturbances and following station-keeping commands over a moving deck. The frequenc
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Meng, Zhaoshi, Dennis Wei, Alfred O. Hero, and Ami Wiesel. "Marginal likelihoods for distributed estimation of graphical model parameters." In 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013. http://dx.doi.org/10.1109/camsap.2013.6714010.

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Harber, Keith, and Steve Brockett. "Marginal RF Gain Investigation and Root Cause Determination." In ISTFA 2013. ASM International, 2013. http://dx.doi.org/10.31399/asm.cp.istfa2013p0095.

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Abstract This paper outlines the failure analysis of a Radio Frequency only (RF-only) failure on a complex Multimode Multiband Power Amplifier (MMPA) module, where slightly lower gain was observed in one mode of operation. 2 port S-parameter information was collected and utilized to help localize the circuitry causing the issue. A slight DC electrical difference was observed, and simulation was utilized to confirm that difference was causing the observed S-parameters. Physical analysis uncovered a very visible cause for the RF-only failure.
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Privalov, Alexander Yu, and Alexander V. Blagov. "Some Models Parameters Calculation For Simulation Of Network Traffic Marginal Distribution And Self-Similarity." In 23rd European Conference on Modelling and Simulation. ECMS, 2009. http://dx.doi.org/10.7148/2009-0018-0024.

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Hou, Qinzhong, Songcheng Mu, and Mengzhu Zhang. "Marginal Effects for Random Parameters Logit Models: A Case Study of Crash Severity Analysis." In 22nd COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.167.

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Fouques, Se´bastien, Dag Myrhaug, and Finn Gunnar Nielsen. "Seasonal Modelling of Multivariate Distributions of Metocean Parameters." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28048.

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Statistical information about the joint occurrence of metocean parameters is of importance for many offshore activities. For instance, in marine operations, environmental limitations may be brought about by both wind and wave conditions. Thus, knowledge of their joint occurrence is important as the persistence duration and the seasonal dependence of wind and waves appear to be of large interest. However, such a modelling becomes difficult as the number of considered variables increases, especially when utilizing a common parameterization of some conditional distributions. This paper proposes a
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An, Dawn, and Joo-Ho Choi. "Improved MCMC Method for Parameter Estimation Based on Marginal Probability Density Function." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48784.

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In many engineering problems, sampling is often used to estimate and quantify the probability distribution of uncertain parameters during the course of Bayesian framework, which is to draw proper samples that follow the probabilistic feature of the parameters. Among numerous approaches, Markov Chain Monte Carlo (MCMC) has gained the most popularity due to its efficiency and wide applicability. The MCMC, however, does not work well in the case of increased parameters and/or high correlations due to the difficulty of finding proper proposal distribution. In this paper, a method employing margina
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Reports on the topic "Marginal parameters"

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Kurozumi, Takushi, Ryohei Oishi, and Willem Van Zandweghe. Sticky Information Versus Sticky Prices Revisited: A Bayesian VAR-GMM Approach. Federal Reserve Bank of Cleveland, 2022. http://dx.doi.org/10.26509/frbc-wp-202234.

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Several Phillips curves based on sticky information and sticky prices are estimated and compared using Bayesian VAR-GMM. This method derives expectations in each Phillips curve from a VAR and estimates the Phillips curve parameters and the VAR coefficients simultaneously. Quasi-marginal likelihood-based model comparison selects a dual stickiness Phillips curve in which, each period, some prices remain unchanged, consistent with micro evidence. Moreover, sticky information is a more plausible source of inflation inertia in the Phillips curve than other sources proposed in previous studies. Stic
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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 (PC
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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
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Ungar, Eugene D., Montague W. Demment, Uri M. Peiper, Emilio A. Laca, and Mario Gutman. The Prediction of Daily Intake in Grazing Cattle Using Methodologies, Models and Experiments that Integrate Pasture Structure and Ingestive Behavior. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568789.bard.

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This project addressed the prediction of daily intake in grazing cattle using methodologies, models and experiments that integrate pasture structure and ingestive behavior. The broad objective was to develop concepts of optimal foraging that predicted ingestive behavior and instantaneous intake rate in single and multi-patch environments and extend them to the greater scales of time and space required to predict daily intake. Specific objectives included: to determine how sward structure affects the shape of patch depletion curves, to determine if the basic components of ingestive behavior of
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Gilmore, Walter E., Benjamin H. Sims, Mark O. Mundt, and David H. Jr Collins. The Effects of Electrostatic Discharge Phenomena on Detonator Response: A Framework for Evaluating Parameters Relevant to Quantification of Margins and Uncertainties. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1057601.

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Gillette, J. L., and R. L. Kolpa. ANL-08-02 Overview of Interstate Hydrogen Pipeline Systems. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0011902.

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Design requirements for hydrogen pipelines are still evolving. Although there are several hundred miles of hydrogen pipelines throughout the world, most hydrogen pipelines are designed to transport hydrogen only short distances, from the production facility to the end-user. Many such applications typically represent only a few hundred feet of pipeline and operate with maximum pressures of considerably less than the 1,000 psi absolute (psia) or more that would likely be required for long-distance pipeline transmission of hydrogen. The safety record for these pipelines is considered to be very g
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Reimers, C. E. Variability of carbon system parameters in coastal waters of the Mid-Atlantic Bight off New Jersey: A link to the Ocean Margins Program. Final technical report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/764618.

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Siregar, Moammar Andar Roemare, Andika Afriansyah, Hendy Mirza, Doddy Hami Seno, Nugroho Purnomo, and Stefanus Purnomo. Transperitoneal versus Extraperitoneal approach for laparoscopic and robot assisted radical prostatectomy: a systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.11.0042.

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Review question / Objective: This study aims to compare the outcomes parameter of transperitoneal radical prostatectomy (TP-RP) vs extraperitoneal radical prostatectomy (EP-RP) approach used in Laparoscopy radical prostatectomy (LRP) or Robot-assisted radical prostatectomy (RARP). Condition being studied: Patients with history of Radical Prostatectomy using Transperitoneal Radical Prostatectomy or Extraperitoneal Radical Prostatectomy approach with Laparoscopy or Robot-Asssited surgery methods. Eligibility criteria: Studies were included if: (a) Patients have a history of Radical Prostatectomy
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Farahbod, A. M., and J. F. Cassidy. Temporal variations in coda Q before and after the 2017 Barrow Strait earthquake (Mw 5.9) in Nunavut and the 2012 Haida Gwaii earthquake (Mw 7.8) in British Columbia. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331095.

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In this study, we examine potential temporal changes in coda Q values for two significant Canadian earthquakes in different tectonic environments: the 2017 (Mw 5.9) Barrow Strait earthquake along Canada's northern margin and the 2012 (Mw 7.8) Haida Gwaii subduction earthquake on Canada's west coast. Waveforms from 124 earthquakes (2.0 &amp;amp;lt;/= M &amp;amp;lt;/= 4.6) for ~30 years prior to the January 8, 2017 Barrow Strait earthquake and 66 events (mainly aftershocks of M 2.0-5.3) in about 4 years after the mainshock recorded by the closest seismic station (RES) of the Canadian National Se
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Moghimi, Gholamreza, and Nicos Makris. Response Modification of Structures with Supplemental Rotational Inertia. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/tihv1701.

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Tall, multistory, buildings are becoming increasingly popular in large cities as a result of growing urbanization trends (United Nations Department of Economic and Social Affairs 2018). As cities continue to grow, many of them along the coasts of continents which are prone to natural hazards, the performance of tall, flexible buildings when subjected to natural hazards is a pressing issue with engineering relevance. The performance of structures when subjected to dynamic loads can be enhanced with various response modification strategies which have been traditionally achieved with added stiffn
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