Conjugate prior, Advanced Statistics

Conjugate prior: The distribution for samples from the particular probability distribution such that the posterior distribution at each stage of the sampling is of the identical family, regardless of the values observed in the sample. For instance, the family of beta distributions is conjugate for the samples from a binomial distribution, and family of gamma distributions is the conjugate for samples from the exponential distribution.

Posted Date: 7/27/2012 12:56:54 AM | Location : United States







Related Discussions:- Conjugate prior, Assignment Help, Ask Question on Conjugate prior, Get Answer, Expert's Help, Conjugate prior Discussions

Write discussion on Conjugate prior
Your posts are moderated
Related Questions
Standardise the following arguments, which involve counter-arguments Some educators have argued that the increasing use of the internet by children and teenagers will have a be

A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.

In a mathematics examination the average grade was 82 and the standard deviation was 5. all students with grade from 88 to 94 received grade of B. if the grade are approximately no

1) Question on the first day questionnaire asked students to rate their response to the question Are you deeply moved by the arts or music? Assume the population that is sampled

Confidence profile method : A Bayesian approach to meta-analysis in which the information in each piece of the evidence is captured in the likelihood function which is then used al

The scatter plots of SRES1, RESI1 versus totexp demonstrates that there is non-linear relationship that exists as most of the points are below and above zero. The scatter plots sho

Regression through the origin : In some of the situations a relationship between the two variables estimated by the regression analysis is expected to pass by the origin because th

The tabulation of a sample of observations in terms of numbers falling below particular values. The empirical equivalent of the growing probability distribution. An example of such

The procedure in which initially the sample of subjects is selected for generating the auxillary information only, and then the second sample is selected in which the variable of i

Odds ratio is the ratio of the odds for the binary variable in two groups of the subjects, such as, males and females. If the two possible states of variable are labeled as 'succe