@DataSciFact

Daily data science tweets from @JohnDCook.

 Houston
JohnDCook.com/
Joined November 2010
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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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Nine great stats papers published after 1970 normaldeviate.wordpress.com/… chosen by Rob Tibshirani

Guest Post: ROB TIBSHIRANI

GUEST POST: ROB TIBSHIRANI Today we have a guest post by my good friend Rob Tibshirani. Rob has a list of nine great statistics papers. (He is too modest to include his own papers.) Have a look and…

normaldeviate.wordpress.com
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For network analysis, check out @NetworkFact.
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Estimating the chances of something that hasn't happened yet johndcook.com/blog/2010/03/3…

Statistical rule of three

A handy rule of thumb for creating a confidence interval for the probability of an event you haven't seen happen yet.

johndcook.com
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Edward Tufte-style presentations in CSS github.com/edwardtufte/tufte… and LaTeX: tufte-latex.github.io/tufte-…

GitHub - edwardtufte/tufte-css: Style your webpage like Edward Tufte’s handouts.

Style your webpage like Edward Tufte’s handouts. Contribute to edwardtufte/tufte-css development by creating an account on GitHub.

github.com
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Unstructured data is an oxymoron johndcook.com/blog/2019/01/1…

Unstructured Data | Free Text | Graph Structure

By "unstructured data" people usually mean data with a non-tabular structure. Data must have structure to be comprehensible.

johndcook.com
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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…
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Why fitting a logistic is nearly impossible from early data johndcook.com/blog/2026/09/1…

Why fitting a logistic is nearly impossible from early data

Why fitting a logistic to data is very sensitive when all the data are on one side of the inflection point.

johndcook.com
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Index of surprise johndcook.com/blog/2022/12/1…

Judging how surprising a new record is

How can you judge whether a new maximum or minimum value is remarkable? When should you be suspicious?

johndcook.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…

The Very Model of a Professor Statistical

Statistician George Box's rewriting of a song by Gilbert & Sullivan

johndcook.com
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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…

Earth-Mover Distance | Wasserstein metric | t-closeness

t-closeness is a privacy criterion, a way of saying groups are not too different from a global distribution, with distance measured by the "earth mover" metric.

johndcook.com
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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/…
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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…

Noise colors: White, Pink, Red, etc.

What the various colors of noise mean and what inspired their names.

johndcook.com
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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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