“Often enough, scientists are left with the unenviable task of conducting an orchestra with out-of-tune instruments”
statmodeling.stat.columbia.edu/2024/04/28/oft…

Evaluating MCMC samplers
statmodeling.stat.columbia.edu/2024/04/27/eva…

“When are Bayesian model probabilities overconfident?” . . . and we’re still trying to get to meta-Bayes
statmodeling.stat.columbia.edu/2024/04/27/whe…

Whooping cough! How to respond to fatally-flawed papers? An example, in a setting where the fatal flaw is subtle, involving a confounding of time and cohort effects
statmodeling.stat.columbia.edu/2024/04/26/who…

Population forecasting for small areas: an example of learning through a social network
statmodeling.stat.columbia.edu/2024/04/25/pop…

GIST: Gibbs self-tuning for HMC
statmodeling.stat.columbia.edu/2024/04/24/gis…

For that price he could’ve had 54 Jamaican beef patties or 1/216 of a conference featuring Gray Davis, Grover Norquist, and a rabbi
statmodeling.stat.columbia.edu/2024/04/24/for…

Postdoc Opportunity at the HEDCO Institute for Evidence-Based Educational Practice in the College of Education at the University of Oregon
statmodeling.stat.columbia.edu/2024/04/23/pos…

4 ways to follow this blog
statmodeling.stat.columbia.edu/2024/04/23/4-w…

What is your superpower?
statmodeling.stat.columbia.edu/2024/04/23/wha…

Storytelling and Scientific Understanding (my talks with Thomas Basbøll at Johns Hopkins this Friday)
statmodeling.stat.columbia.edu/2024/04/22/sto…

Decorative statistics and historical records
statmodeling.stat.columbia.edu/2024/04/22/dec…

Now here’s a tour de force for ya
statmodeling.stat.columbia.edu/2024/04/21/now…

Analogy between (a) model checking in Bayesian statistics, and (b) the self-correcting nature of science.
statmodeling.stat.columbia.edu/2024/04/20/ana…

The data are on a 1-5 scale, the mean is 4.61, and the standard deviation is 1.64 . . . What’s so wrong about that??
statmodeling.stat.columbia.edu/2024/04/19/the…

Infovis, infographics, and data visualization: My thoughts 12 years later
statmodeling.stat.columbia.edu/2024/04/18/inf…

“Close but no cigar” unit tests and bias in MCMC
statmodeling.stat.columbia.edu/2024/04/17/clo…

Do research articles have to be so one-sided?
statmodeling.stat.columbia.edu/2024/04/17/do-…

N=43, “a statistically significant 226% improvement,” . . . what could possibly go wrong??
statmodeling.stat.columbia.edu/2024/04/16/n43…

No, it’s not “statistically implausible” when results differ between studies, or between different groups within a study.
statmodeling.stat.columbia.edu/2024/04/15/no-…