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

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Author Info
Nicholas J. Cox () (Durham University, 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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Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 9 (2009)
Issue (Month): 2 (June)
Pages: 306-314
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Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:306-314

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Related research
Keywords: qsbayesi; qsbayes; categorical data; contingency tables; Mata; pseudo-Bayes; quasi-Bayes; random zeros; sampling zeros; smoothing;

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This page was last updated on 2009-12-20.

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