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  • ...ssible parameter values. To find this so-called '''[[Posterior probability|posterior probability distribution]]''' requires combining the '''likelihood''' and t ...ed from the results of previous experiments. For instance, one can use the posterior of one analysis as the prior in a new, independent analysis.
    28 KB (4,371 words) - 03:28, 14 April 2008
  • The ''[[posterior probability]]'' is then the [[conditional probability]] of the variable tak The posterior probability is computed from the prior and the [[likelihood function]] via
    12 KB (1,800 words) - 22:58, 29 December 2005
  • ...e method of '''maximum a posteriori''' (MAP, posterior mode, or '''maximum posterior probability''') [[estimation theory|estimation]] can be used to obtain a [[ # Analytically, when the mode(s) of the posterior distribution can be given in [[closed-form solution|closed form]]. This is
    2 KB (305 words) - 23:05, 29 December 2005
  • <li>Summarizing the posterior</li> <li>Interval estimates</li>
    20 KB (3,034 words) - 10:55, 6 January 2006