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Reaction Kinetics, Mechanisms and Catalysis, 2021 Kinetic analysis of the gas-phase and liquid phase hydrogenation of toluene to methylcyclohexane on Ni catalysts was performed. For complex reaction mechanisms comprising several kinetically significant steps, nonlinear regression, while giving an ...
D. Murzin +3 more
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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 ...
David J. Spiegelhalter, Kenneth M. Rice
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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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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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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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Holes in Bayesian statistics [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2020 Every philosophy has holes, and it is the responsibility of proponents of a philosophy to point out these problems. Here are a few holes in Bayesian data analysis: (1) the usual rules of conditional probability fail in the quantum realm, (2) flat or weak
A. Gelman, Yuling Yao
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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-AOS1270E in the Annals of Statistics (http://www ...
Ghosal, Subhashis
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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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Statistical Information: A Bayesian Perspective [PDF]
Entropy, 2011 We explore the meaning of information about quantities of interest. Our approach is divided in two scenarios: the analysis of observations and the planning of an experiment. First, we review the Sufficiency, Conditionality and Likelihood principles and how they relate to trivial experiments.
Rafael Bassi Stern +1 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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