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“Statistics is hard, especially when effects are small and variable and measurements are noisy. There are no quick fixes … and a formulaic approach to statistics is a principal cause of the current replication crisis.” — Blakeley McShane
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Estimating the chances of something that hasn't happened yet johndcook.com/blog/2010/03/3…
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Edward Tufte-style presentations in CSS github.com/edwardtufte/tu… and LaTeX: tufte-latex.github.io/tufte-latex/
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Unstructured data is an oxymoron johndcook.com/blog/2019/01/1…
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The Bayes estimator with minimum quadratic loss for a parameter is the posterior mean of that parameter.
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'Choice of an appropriate family of distributions may be the most challenging phase of analysis.' -- David Cox
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Bioinformatics Q & A site bioinformatics.stackexchange.com
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Kleinberg's theorem: There are no clustering algorithms that satisfy scale invariance, richness, and consistency.
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'I am the very model of a professor statistical' johndcook.com/blog/2022/10/0…
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The Wilcoxon Rank Sum Test can have greater asymptotic relative efficiency than the t-test for heavy-tailed distributions.
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'To calculate is not in itself to analyze.' -- Edgar Allen Poe, Murders in the Rue Morgue
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Earth-mover distance and t-closeness johndcook.com/blog/2018/11/0…
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Unbiased estimators based on complete sufficient statistics are unique. -- Lehmahn-Scheffé theorem
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Reference comparing R, Python, and MATLAB syntax mathesaurus.sourceforge.net/matlab-python-…
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'A Bayesian is one who, vaguely expecting a horse, and catching a glimpse of a donkey, strongly believes he has seen a mule.' ~ @stephensenn
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What does it mean to call noise white, pink, gray, etc? johndcook.com/blog/2015/12/0…
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If λ(x) is a LRT statistic for a point-null hypothesis, asymptotically -2 log(λ) has a chi-square(1) distribution.
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