Bayes factor: A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of posterior to previous odds,

 

Twice the logarithm of B10 is on the similar scale as the deviance and the likelihood ratio test statistic. The following scale is many times useful for interpreting the values of B10;

 


Very sensitive to the assumed previous distribution of the models. 

Posted Date: 7/26/2012 5:21:05 AM | Location : United States

Ask an Expert

Related Discussions:- Bayes factor, Assignment Help, Ask Question on Bayes factor, Get Answer, Expert's Help, Bayes factor Discussions

Write discussion on Bayes factor
Your posts are moderated

Write your message here..

Related Questions

Reliability theory, Reliability theory is the theory which attempts to det... Reliability theory is the theory which attempts to determine the reliability of the complex system from knowledge of the reliabilities of the components. Interest might centre on

Stratified sampling, work sheet within answer work sheet within answer

Decision tree, The graphic representation of the alternatives in a decision... The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give

Describe martingale, Martingale: In the gambling context the term at first... Martingale: In the gambling context the term at first referred to a system for recouping losses by doubling the stake after each loss has occured. The modern mathematical concept

Tests for heteroscedasticity, The Null Hypothesis - H0: There is no heteros... The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1:  There is heteroscedasticity i.e. β 1 0 Reject H0 if nR2 > MTB >

Describe ignorability., Ignorability : The missing data mechanism is said t... Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators

Incubation period, Incubation period is the time elapsing amongs the receip... Incubation period is the time elapsing amongs the receipt of infection and the appearance of the symptoms. The length of the incubation time period depends on the disease, ranging

Maximum likelihood estimation, Maximum likelihood estimation is an estimat... Maximum likelihood estimation is an estimation procedure involving maximization of the likelihood or the log-likelihood with respect to the parameters. Such type of estimators is

Dirichlet process mixture models, The nonparametric Bayesian inference appr... The nonparametric Bayesian inference approach to using the finite mixture distributions for modelling data suspected of the containing distinct groups of observations; this approac

Define kappa coefficient, Kappa coefficient : The chance corrected index of... Kappa coefficient : The chance corrected index of the agreement between, for instance, judgements and diagnoses made by the two raters. Calculated as the ratio of the noticed exces