“Close but no cigar” unit tests and bias in MCMC

Numbers Rule Your World 2024-04-17

Summary:

I’m coding up a new adaptive sampler in Python, which is super exciting (the basic methodology is due to Nawaf Bou-Rabee and Tore Kleppe). Luckily for me, another great colleague, Edward Roualdes, has been keeping me on the straight and … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2024/04/17/close-but-no-cigar-unit-tests-and-bias-in-mcmc/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

computing

Authors:

Bob Carpenter

Date tagged:

04/17/2024, 16:01

Date published:

04/17/2024, 15:00