Overview
Jonah Gabry is a statistician and software developer at Columbia University's Applied Statistics Center, a core member of the Stan development team and author of several R packages for Bayesian workflow (loo, bayesplot, rstanarm, shinystan).
Key Contributions / Features
- PSIS-LOO — Vehtari–Gelman–Gabry (2017): With Aki Vehtari and Andrew Gelman, co-developed the practical LOO/WAIC computations via Pareto-smoothed importance sampling and the R
loo package. See Vehtari-Gelman-Gabry (2017) and WAIC.
- Bayesian workflow tooling: Author/maintainer of visualization and diagnostics packages central to applied Bayesian model checking in the Stan ecosystem.
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