Bayes’ Theorem: A Model for Human Probability Estimate Revision
, 1967 The purpose of this study was to examine Bayes\u27 Theorem as a model for the description of how humans utilize information based on uncertain (probabilistic) relationships between the relevant cues and the outcome ...
Hickok, William H.
core
Simulations All the Way Up! An Atheist's Response to the Fine‐Tuning Argument
Analytic Philosophy, EarlyView.ABSTRACT So the Fine‐tuning Argument goes, because it is so unlikely for the physical constants of the laws of nature to have taken the values that they in fact take, we should significantly raise our credence that God exists. Simulation Arguments argue that our world might be (or, in stronger versions, that it probably is) a mere computer simulation ...
Nikk Effingham
wiley +1 more source
Diagnosing ectopic pregnancy using the bayes theorem and neural network: a validation of a retrospective cohort study. [PDF]
Rev Bras Ginecol ObstetMaroni L, Silva PC, Kunst R, Savaris RF.
europepmc +1 more source
Sparse Minimum Redundancy Maximum Relevance for Feature Selection
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor +3 more
wiley +1 more source
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
core
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
europepmc +1 more source