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Bayes Factors
, 1995
"... In a 1935 paper, and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, which is the posterior odds of the null hypothesis when the prior probability on the null ..."
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Cited by 1766 (74 self)
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is onehalf. Although there has been much discussion of Bayesian hypothesis testing in the context of criticism of P values, less attention has been given to the Bayes factor as a practical tool of applied statistics. In this paper we review and discuss the uses of Bayes factors in the context of five
A Bayesian method for the induction of probabilistic networks from data
 MACHINE LEARNING
, 1992
"... This paper presents a Bayesian method for constructing probabilistic networks from databases. In particular, we focus on constructing Bayesian belief networks. Potential applications include computerassisted hypothesis testing, automated scientific discovery, and automated construction of probabili ..."
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Cited by 1381 (32 self)
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This paper presents a Bayesian method for constructing probabilistic networks from databases. In particular, we focus on constructing Bayesian belief networks. Potential applications include computerassisted hypothesis testing, automated scientific discovery, and automated construction
A Practical Bayesian Framework for Backprop Networks
 Neural Computation
, 1991
"... A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible: (1) objective comparisons between solutions using alternative network architectures ..."
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Cited by 496 (20 self)
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A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible: (1) objective comparisons between solutions using alternative network architectures
Default Bayesian hypothesis testing for the scale parameters in nonregular Pareto distributions
, 2012
"... This article deals with the problem of testing the equality of the scale parameters in nonregular Pareto distributions. We propose Bayesian hypothesis testing procedures for the equality of the scale parameters under the noninformative prior. The noninformative prior is usually improper which yields ..."
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This article deals with the problem of testing the equality of the scale parameters in nonregular Pareto distributions. We propose Bayesian hypothesis testing procedures for the equality of the scale parameters under the noninformative prior. The noninformative prior is usually improper which
Bayesian Hypothesis Testing for the Ratio of Exponential Means
"... This paper considers testing for the ratio of two exponential means. We propose a solution based on a Bayesian decision rule to this problem in which no subjective input is considered. The criterion for testing is the Bayesian reference criterion (Bernardo, 1999). We derive the Bayesian reference cr ..."
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This paper considers testing for the ratio of two exponential means. We propose a solution based on a Bayesian decision rule to this problem in which no subjective input is considered. The criterion for testing is the Bayesian reference criterion (Bernardo, 1999). We derive the Bayesian reference
Bayesian Hypothesis Testing in Latent Variable Models
, 2010
"... Hypothesis testing using Bayes factors (BFs) is known to suffer from several problems in the context of latent variable models. The first problem is computational. Another problem is that BFs are not well defined under the improper prior. In this paper, a new Bayesian method, based on decision theo ..."
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Cited by 2 (1 self)
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Hypothesis testing using Bayes factors (BFs) is known to suffer from several problems in the context of latent variable models. The first problem is computational. Another problem is that BFs are not well defined under the improper prior. In this paper, a new Bayesian method, based on decision
An Introduction to Bayesian Hypothesis Testing for Management Research
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Clinical trial monitoring with Bayesian hypothesis testing
"... ◮ Bayesians typically approach a clinical trial as an estimation problem, not a test. ◮ Possible explanation: poor operating characteristics... ◮ Unless you choose your alternative prior well. Local prior operating characteristics ◮ Point null hypothesis versus alternative prior that assigns positiv ..."
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◮ Bayesians typically approach a clinical trial as an estimation problem, not a test. ◮ Possible explanation: poor operating characteristics... ◮ Unless you choose your alternative prior well. Local prior operating characteristics ◮ Point null hypothesis versus alternative prior that assigns
Decision Theoretic Bayesian Hypothesis Testing with the Selection Goal
"... Abstract: Consider a probability model P; ; where = ( 1; 2;:::; k) T is a parameter vector of interest, and is some nuisance parameter. The problem of testing null hypothesis H0: 1 = 2 =::: = k against selecting one of k alternative ..."
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Abstract: Consider a probability model P; ; where = ( 1; 2;:::; k) T is a parameter vector of interest, and is some nuisance parameter. The problem of testing null hypothesis H0: 1 = 2 =::: = k against selecting one of k alternative
Results 11  20
of
101,652