1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchTom Minkahttps://www.microsoft.com/en-us/research/people/minka/Pathologies of Orthodox Statistics - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="lSsZn7Etsp"><a href="https://www.microsoft.com/en-us/research/publication/pathologies-orthodox-statistics/">Pathologies of Orthodox Statistics</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/pathologies-orthodox-statistics/embed/#?secret=lSsZn7Etsp" width="600" height="338" title="“Pathologies of Orthodox Statistics” — Microsoft Research" data-secret="lSsZn7Etsp" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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By rejecting the use of a prior distribution over parameters, orthodox statistics is forced to focus on estimators, functions which guess parameter values, and to invent heuristics for choosing among estimators. Two popular heuristics are unbiasedness and maximum likelihood. Since these heuristics are not consistent with Bayes’ rule, they are also not consistent with the […]