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Efficacy and Safety Ranking of HER2-Targeted TKIs in Advanced Breast Cancer: A Bayesian Network Meta-Analysis. [PDF]

Clin Med Insights Oncol
Li R, Huangfu R, Lan H, Zhang C, Hou K, Ping Y.   +5 more
europepmc   +1 more source

Cefepime and Mortality: A Systematic Review and Bayesian Meta-Analysis.

JAMA Netw Open
Sohani ZN, Zhong YJ, Afshar A, Assiri BA, Gore G, Cheng MP, Lieu A, Serero J, Hamilton F, Lawandi A, Paul M, Yahav D, Albuquerque AM, Butler-Laporte G, McDonald EG, Lee TC.   +15 more
europepmc   +1 more source

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On Fuzzy Probabilities in Bayesian Games

2011 Workshop-School on Theoretical Computer Science, 2011
This work proposes an application of fuzzy probabilities, respecting an arithmetic restriction, in order to estimate unknown types of players in a bayesian game, thus configuring a fuzzy bayesian game. To this end, besides defining the operations needed for this application, a hypothetical example of a bayesian game is presented and then this ...
Tiago da Cruz Asmus, Graçaliz Pereira Dimuro   +1 more
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Bayesian probability

Synthese, 2009
Bayesian decision theory is here construed as explicating a particular concept of rational choice and Bayesian probability is taken to be the concept of probability used in that theory. Bayesian probability is usually identified with the agent’s degrees of belief but that interpretation makes Bayesian decision theory a poor explication of the relevant ...
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Vagueness and Bayesian probability

IEEE Transactions on Fuzzy Systems, 1994
This paper is a response to Michael Laviolette and John W. Seaman Jr.'s ( ibid. vol.2, no.1, p.4 (1994)) position paper "The efficacy of fuzzy representations of uncertainty," which criticizes fuzzy representations of uncertainty, and suggests that Bayesian probability can do better.
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A RECURSION FORMULA FOR BAYESIAN PROBABILITIES

Psychological Reports, 2003
A recursion formula for Bayes' formula is derived. The formula is useful in applications in which diagnoses are added in a stepwise way to predict a criterion. On each step, changes in various diagnostic measures can be easily evaluated.
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Bayesian Inferences on Predictors of Conception Probabilities

Biometrics, 2005
SummaryReproductive scientists and couples attempting pregnancy are interested in identifying predictors of the day‐specific probabilities of conception in relation to the timing of a single intercourse act. Because most menstrual cycles have multiple days of intercourse, the occurrence of conception represents the aggregation across Bernoulli trials ...
Dunson, David B., Stanford, Joseph B.
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Bayesian Probability Theory

2014
From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis from a Bayesian perspective for physicists and engineers. The book presents the roots, applications and numerical implementation of probability theory, and covers advanced topics such as maximum entropy distributions ...
Linden, W., Dose, V., Toussaint, U.
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A Bayesian probability network

AIP Conference Proceedings, 1986
A model of an associative neural network is developed in which the state of each node is described by a probability density. The realization of the network is based on the pairwise joint probabilities obtained from a training set of states. A positive definite ‘‘energy’’ functional of the probabilities may be constructed from Bayes’ rule of statistical
C. H. Anderson, E. Abrahams
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