Abstract
I. J. Good (1916-2009) was a prolific scientist who contributed to many fields, mostly from a Bayesian standpoint. This column explains his idea of quasi-Bayes (a.k.a. pseudo-Bayes) estimation or smoothing of categorical frequencies in a contingency table, which is especially useful as a way of dealing with awkward sampling or random zeros. It shows how the method can be implemented, almost calculator-style, using a combination of Stata and Mata. Convenience commands qsbayesi and qsbayes are also introduced. © 2009 StataCorp LP.
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Cox, N. J. (2009). Speaking stata: I. J. good and quasi-bayes smoothing of categorical frequencies. Stata Journal, 9(2), 306–314. https://doi.org/10.1177/1536867x0900900209
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