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- ...obability of any possible data set.) You will recall that in '''[[Bayesian inference|Bayesian statistics]]''' the goal is to obtain a full probability distribut ...hat we will return to later: unlike bootstrap support (which have no clear statistical meaning) these are actual probabilities. Furthermore, they have been found28 KB (4,371 words) - 03:28, 14 April 2008
- '''Bayesian inference''' is a statistical inference in which probabilities are interpreted not as frequencies or proportions or .../en.wikipedia.org/wiki/Bayesian_inference Wikipedia article on '''Bayesian inference''']632 bytes (87 words) - 20:04, 30 December 2005
- ...his article uses the vocabulary of [[Bayesian probability]] and [[Bayesian inference]]. In [[Bayesian probability|Bayesian]] [[statistical inference]], a '''prior probability distribution''', often called simply the '''prior12 KB (1,800 words) - 22:58, 29 December 2005
- '''Maximum likelihood estimation (MLE)''' is a popular [[statistics|statistical]] method used to make inferences about parameters of the underlying [[proba .... For detail, please refer to the proof of Theorem 7.2.10 of ''Statistical Inference'' by George Casella and Roger L. Berger.5 KB (832 words) - 04:49, 13 September 2006
- * '''9. Statistical properties of parsimony''' <li>Criticisms of statistical inference</li>20 KB (3,034 words) - 10:55, 6 January 2006