Cover of The Stan Workbench

Statistical Methodology

Forthcoming

The Stan Workbench

Modular Bayesian Computation in Stata

A transparent Stata-to-Stan pipeline for models that outgrow canned families.

About the book

Synopsis

For the Stata analyst whose model has outgrown the canned families, The Stan Workbench closes the gap between Stata and Stan. The long-form companion to the stanrun suite, it lets you write a model in Stan, fit it with Hamiltonian Monte Carlo, and carry every intermediate result — draws, diagnostics, predictive checks, and information criteria — back into Stata, where your data, do-files, and reporting already live.

A modular, transparent pipeline of small commands takes an analysis from a Stan program through sampling to diagnostics, predictive checks, and model comparison. Developed across thirty-five chapters in seven parts with four reference appendices, it is a bench manual for the researcher who needs full control: Gaussian processes, item-response and joint longitudinal-survival models, hidden Markov models, mixtures, and custom likelihoods that the prefix commands cannot express.

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