Difference between revisions of "Parameter estimation"
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In [[Bayesian Probability]], parameters are estimated by computing the joint [[posterior distribution]] of the parameter set using [[Bayes Rule]]. | In [[Bayesian Probability]], parameters are estimated by computing the joint [[posterior distribution]] of the parameter set using [[Bayes Rule]]. | ||
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Revision as of 01:22, March 29, 2008
In probability, once a distribution has been selected it is then necessary to estimate the values of its associated parameters in order to specify the particular distribution out of the family or class of distributions which differ only on the basis of the values of these parameters.
In Bayesian Probability, parameters are estimated by computing the joint posterior distribution of the parameter set using Bayes Rule.