Speaking Stata: I. J. Good and quasi–Bayes smoothing of categorical frequencies

dc.creatorCox, Nicholas J.
dc.date2017-04-01T19:17:13Z
dc.date.accessioned2026-07-09T06:15:39Z
dc.descriptionI. 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.
dc.identifierOther:st0168
dc.identifierdoi:10.22004/ag.econ.127361
dc.identifierhttps://ageconsearch.umn.edu/record/127361/files/sjart_st0168.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/127361
dc.identifier.urihttp://hdl.handle.net/123456789/574327
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/127361
dc.titleSpeaking Stata: I. J. Good and quasi–Bayes smoothing of categorical frequencies
dc.typeText

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