Generalized Bayes’ theorem for non-precise a-priori distribution
A-priori knowledge in form of one exact probability distribution on the parameter space is questionable. For more general forms of a-priori information so-called non-precise a-priori densities are a suitable quantitative description.
Reinhard Viertl, Dietmar Hareter
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Trust learning in the repeated trust game: A meta‐analytic study
British Journal of Psychology, EarlyView.Abstract Trust involves making oneself vulnerable by relying on the expectation that others will reciprocate and act in a trustworthy manner, leading to mutual benefit. In behavioural economics and psychology, the Trust Game (TG) is a widely used paradigm to measure trust.
Caitlin Duncan +3 more
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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.
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, 2004 The authors aimed to show the application of the principles of Bayes theorem for calculation of carrier risks in single-gene disorders. Bayes theorem gives an opportunity for the use of family history and also the use of all present information in ...
Demirel, S., Bodur, S.
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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
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
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.
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Bayes' Theorem and Naive Bayes Classifier
This article gives a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from the fundamental elements of probability theory, this article outlines all steps leading to one of
Berrar, Daniel
core
Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge
Groundwater, EarlyView.Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach +2 more
wiley +1 more source
Bayes' theorem, COVID19, and screening tests. [PDF]
Am J Emerg Med, 2020 Chan GM.
europepmc +1 more source