A tutorial on Bayesian model averaging for exponential random graph models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Using Bayes theorem to estimate positive and negative predictive values for continuously and ordinally scaled diagnostic tests. [PDF]
Int J Methods Psychiatr Res, 2021 Fischer F.
europepmc +1 more source
Comparing Bayes\u27s Theorem to Frequency-Based Approaches to Teaching Bayesian Reasoning [PDF]
, 2003 Despite the conceptual simplicity of Bayesian reasoning, people often err when calculating or estimating conditional probability. These mistakes can have significant real-world consequences, and Bayes\u27s Theorem is a notoriously difficult remedy to ...
Ruscio, John
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An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
When do proxy advisors improve corporate decisions?
Economic Inquiry, EarlyView.Abstract This paper studies the impact of proxy advisors on shareholder decision‐making. We posit two assumptions: (i) the board is at least as well informed as any individual shareholder; (ii) shareholders can condition their information acquisition on the proxy advisor's (PA) recommendation.
Berno Buechel +2 more
wiley +1 more source
Corrigendum to "Bayes' theorem, COVID19, and screening tests" [The American Journal of Emergency Medicine, Volume 38, Issue 10, October 2020, Pages 2011-2013]. [PDF]
Am J Emerg Med, 2021 Chan GM.
europepmc +1 more source
Bayesian Posteriors Without Bayes' Theorem [PDF]
, 2012 The classical Bayesian posterior arises naturally as the unique solution of several different optimization problems, without the necessity of interpreting data as conditional probabilities and then using Bayes' Theorem.
Theodore P. HILL, DALL'AGLIO, MARCO
core
Bayes' theorem, COVID19, and screening tests. [PDF]
Am J Emerg Med, 2020 Chan GM.
europepmc +1 more source
Bayes’ Theorem: A Model for Human Probability Estimate Revision [PDF]
, 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.
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Underdetermined Magnetostatic Inverse Problem : Bayes Theorem application [PDF]
, 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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