Bayesian

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Bayes·i·an

(bā′zē-ən, -zhən)

adj.

Of or relating to an approach to probability in which prior results are used to calculate probabilities of certain present or future events.

[After Thomas Bayes (1702-1761), British cleric and mathematician.]

American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

Bayesian

(ˈbeɪzɪən)

adj

(Statistics) (of a theory) presupposing known a priori probabilities which may be subjectively assessed and which can be revised in the light of experience in accordance with Bayes' theorem. A hypothesis is thus confirmed by an experimental observation which is likely given the hypothesis and unlikely without it. Compare maximum likelihood

Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

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Adj. 1. Bayesian - of or relating to statistical methods based on Bayes' theorem

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maximum likelihood

References in periodicals archive ?

In this paper, we propose a Bayesian framework to address issues (1) and (2), that is, to provide a low-cost and high-speed way for shape prediction of yam.

Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters

Bayesian network is one of the effective methods in the field of artificial intelligence to express uncertainty analysis and probability reasoning of a system.

A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica

The statistical approach toward inverse problems from a Bayesian point of view has been very important for the development of uncertainty quantification.

Bayesian Analysis for a Fractional Population Growth Model

To the best of our knowledge, the Bayesian approach has not yet been implemented for the estimation of parameters of nonlinear growth curve for Mengali sheep breed of Balochistan.

Fitting Nonlinear Growth Models on Weight in Mengali Sheep through Bayesian Inference

Whereas, the use of the Empirical Bayesian method before the construction of thematic maps, refines the mortality rates, since they have been used in studies of other types of cancer (11,14).

Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil/Modelo Bayesiano e analise espacial da mortalidade por cancer de boca e orofaringe em Minas Gerais, Brasil

Improving the analysis of dependable systems by mapping fault trees into Bayesian networks.

Transformation of Fault Trees into Bayesian Networks Methodology for Fault Diagnosis

This study was to analyze the association of infections with PPROM in pregnant women in Shaanxi, China, and to establish Bayesian stepwise discriminant analysis to predict the incidence of PPROM.

A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes: A Case-control Study

Reasoning With Data: An Introduction to Traditional and Bayesian Statistics Using R

Bayesian network is an intelligent method combining probability theory, graph theory, and decision theory.

Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network