Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain: II

Richard Evans, J. Sedransk

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Malec and Sedransk (Biometrika 79 (1992) 593) develop a Bayesian procedure for estimation of the mean corresponding to one specified experiment among a set of seemingly similar experiments. To provide a method that is invariant to a change in the scale of measuring the variable of interest, they employ an empirical Bayes argument at a key step. In this note we provide a fully Bayesian justification for the results in Malec and Sedransk. We also note that the problem addressed here occurs in other situations.

Original languageEnglish (US)
Pages (from-to)95-100
Number of pages6
JournalJournal of Statistical Planning and Inference
Volume111
Issue number1-2
DOIs
StatePublished - Feb 1 2003
Externally publishedYes

Keywords

  • Bayesian methodology
  • Pooling specifications

Fingerprint

Dive into the research topics of 'Bayesian methodology for combining the results from different experiments when the specifications for pooling are uncertain: II'. Together they form a unique fingerprint.

Cite this