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www.fharrell.com | ||
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minireference.com
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| | | | | [AI summary] The author discusses the need for a revised introductory statistics curriculum, emphasizing the importance of probability distributions, estimators, and sampling methods. They highlight the inclusion of modern statistical techniques like permutation tests and Bayesian statistics, while also addressing ethical considerations and practical applications. The author also recommends various learning resources for readers interested in statistics. | |
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alexanderetz.com
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| | | | | [This post has been updated and turned into a paper to be published in AMPPS] Much of the discussion in psychology surrounding Bayesian inference focuses on priors. Should we embrace priors, or should we be skeptical? When are Bayesian methods sensitive to specification of the prior, and when do the data effectively overwhelm it? Should... | |
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fharrell.com
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| | | | | This is the story of what influenced me to become a Bayesian statistician after being trained as a classical frequentist statistician, and practicing only that mode of statistics for many years. | |
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errorstatistics.com
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| | | David Cox's famous "weighing machine" example" from my last post is thought to have caused "a subtle earthquake" in foundations of statistics. It's been 11 years since I published my Statistical Science article on this, Mayo (2014), which includes several commentators, but the issue is still mired in controversy. It's generally dismissed as an annoying,... | ||
