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Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem [PDF]
, 2010 This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish ...
Berger, James O., Scott, James G.
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Reporting Standards for Bayesian Network Modelling
EntropyReproducibility is a key measure of the veracity of a modelling result or finding. In other research areas, notably in medicine, reproducibility is supported by mandating the inclusion of an agreed set of details into every research publication ...
Martine J. Barons +3 more
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A Web Simulator to Assist in the Teaching of Bayes’ Theorem
Journal of Statistics Education, 2019 Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968 ...
M. J. Bárcena +4 more
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Comment: Bayesian Checking of the Second Levels of Hierarchical Models
, 2007 We discuss the methods of Evans and Moshonov [Bayesian Analysis 1 (2006) 893--914, Bayesian Statistics and Its Applications (2007) 145--159] concerning checking for prior-data conflict and their relevance to the method proposed in this paper. [arXiv:0802.
Evans, M.
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Systematic search of Bayesian statistics in the field of psychotraumatology. [PDF]
Eur J Psychotraumatol, 2017 In many different disciplines there is a recent increase in interest of Bayesian analysis. Bayesian methods implement Bayes' theorem, which states that prior beliefs are updated with data, and this process produces updated beliefs about model parameters.
van de Schoot R, Schalken N, Olff M.
europepmc +2 more sources
Using Bayesian Statistics in Enterprise Demography
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2016 Tytuł artykułu: Zastosowanie metod statystyki bayesowskiej w demografii przedsiębiorstw Znajomość liczby przedsiębiorstw różnego typu, których utworzenie jest planowane w najbliższym roku, stanowi istotną informację, która może zostać wykorzystana w ...
Eva Kotlebová, Ivan Láska
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Bayesian Computing in the Undergraduate Statistics Curriculum
Journal of Statistics Education, 2020 Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have ...
Jim Albert, Jingchen Hu
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Bayesian Synthesis: Combining subjective analyses, with an application to ozone data
, 2011 Bayesian model averaging enables one to combine the disparate predictions of a number of models in a coherent fashion, leading to superior predictive performance. The improvement in performance arises from averaging models that make different predictions.
MacEachern, Steven N. +2 more
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The Astrophysical Journal Supplement Series, 2023 Radio interferometers designed to probe the 21 cm signal from Cosmic Dawn and the Epoch of Reionization must contend with systematic effects that make it difficult to achieve sufficient dynamic range to separate the 21 cm signal from foreground emission ...
Fraser Kennedy +4 more
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Considerate Approaches to Achieving Sufficiency for ABC model selection
, 2011 For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Bayesian formalism to problems where we can use simulations from a model ...
Chris Barnes +4 more
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