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Software for Bayesian Statistics
Journal of Statistical Software, 2021 In this summary we introduce the papers published in the special issue on Bayesian statistics. This special issue comprises 20 papers on Bayesian statistics and Bayesian inference on different topics such as general packages for hierarchical linear model
Michela Cameletti, Virgilio Gómez-Rubio
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Scholarpedia, 2009 © 2012 Springer Science+Business Media, LLC. All rights reserved. Article Outline: Glossary Definition of the Subject and Introduction The Bayesian Statistical Paradigm Three Examples Comparison with the Frequentist Statistical Paradigm Future Directions ...
Kenneth Rice, David Spiegelhalter
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, 2021 Abstract The chapter “Bayesian Statistics” gives a brief overview of the Bayesian approach to statistical analysis. It starts off by examining the difference between frequentist statistics and Bayesian statistics. Next, it introduces Bayes’ theorem and explains how the theorem is used in statistics and model selection, with the ...
Göran Kauermann +2 more
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Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG
Journal of Statistical Software, 2023 The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for structure learning and sampling of Bayesian networks. The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior ...
Polina Suter +3 more
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Bayesian Model Averaging Using Power-Expected-Posterior Priors
Econometrics, 2020 This paper focuses on the Bayesian model average (BMA) using the power–expected– posterior prior in objective Bayesian variable selection under normal linear models.
Dimitris Fouskakis, Ioannis Ntzoufras
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Comparing Bayesian Statistics and Frequentist Statistics in Serious Games Research
International Journal of Serious Games, 2021 This article presents three empirical studies on the effectiveness of serious games for learning and motivation, while it compares the results arising from Frequentist (classical) Statistics with those from Bayesian Statistics.
Wim Westera
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Bayes in action in deep learning and dictionary learning [PDF]
ESAIM: Proceedings and Surveys, 2023 This article summarizes some recent works and associated challenges in the field of Bayesian statistics that were presented during the Journées MAS 2020.
Arbel Julyan +5 more
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Improving Bayesian statistics understanding in the age of Big Data with the bayesvl R package [PDF]
, 2020 The exponential growth of social data both in volume and complexity has increasingly exposed many of the shortcomings of the conventional frequentist approach to statistics.
Ho, Manh-Toan +5 more
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Method for adjusting results of pharmacoeconomic studies from country to country using Bayesian statistics [PDF]
Hospital Pharmacology, 2021 Introduction: Key problems when transferring results of pharmacoeconomic studies between countries are: relative infrequency of observational design, utilization of unreliable estimates of input parameters in many of modelling studies, not reporting ...
Janković Slobodan M. +2 more
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Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" [PDF]
, 2015 Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" by Szab\'o, van der Vaart and van Zanten [arXiv:1310.4489v5].Comment: Published at http://dx.doi.org/10.1214/15-AOS1270D in the Annals of Statistics (http://www ...
Low, Mark G., Ma, Zongming
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