Correction to: A software tool for applying Bayes' theorem in medical diagnostics. [PDF]
BMC Med Inform Decis MakChatzimichail T, Hatjimihail AT.
europepmc +1 more source
Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
A software tool for applying Bayes' theorem in medical diagnostics. [PDF]
BMC Med Inform Decis MakChatzimichail T, Hatjimihail AT.
europepmc +1 more source
Underdetermined Magnetostatic Inverse Problem : Bayes Theorem application
, 2014 International audienceThis paper deals with the use of the Bayesian approach to inverse an underdetermined problem. The modeled a priori information is statistically studied using either Unscented Transform (UT) method or Monte Carlo (MC) method to ...
Guichon, Jean-Michel +4 more
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Comment on van Gemert et al. Child Abuse, Misdiagnosed by an Expertise Center-Part II-Misuse of Bayes' Theorem. Children 2023, 10, 843. [PDF]
Children (Basel)Onkenhout NH +5 more
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Bayesian inference: More than Bayes\u27s theorem
Bayesian inference gets its name from *Bayes\u27s theorem*, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function. But Bayesian inference uses all of
Loredo, Thomas J., Wolpert, Robert L.
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Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem
Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley +1 more source
Rendering transparency to ranking in educational assessment via Bayesian comparative judgement
Review of Education, Volume 14, Issue 2, August 2026.Abstract Transparency in educational assessment has become an increasingly pressing concern, particularly in the aftermath of the pandemic, as institutions seek more equitable, robust and defensible methods of evaluating student work. Comparative judgement (CJ) has gained traction as a promising alternative to traditional rubric‐based marking. However,
Andy Gray +4 more
wiley +1 more source
Application of Bayes' Theorem in Valuating Depression Tests Performance. [PDF]
Front Psychol, 2018 Tommasi M, Ferrara G, Saggino A.
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Bayes Theorem Bounds for Convex Lower Previsions
, 2009 In this paper we consider some bounds for lower previsions that are either coherent or, more generally, centered convex. We focus on bounds concerning the classical product and Bayes’ rules, discussing first weak product rules and some of their ...
PELESSONI, RENATO, VICIG, PAOLO
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