Speaking Stata: I. J. Good and quasi–Bayes smoothing of categorical frequencies
Nicholas J. Cox
Department of Geography
Durham University
Durham, UK
n.j.cox@durham.ac.uk
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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.
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Nicholas J. Cox
View all articles with these keywords:
qsbayesi, qsbayes, categorical data, contingency tables, Mata, pseudo-Bayes, quasi-Bayes, random zeros, sampling zeros, smoothing
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