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Bounds for robust maximum likelihood and posterior consistency in compound mixture state experiments

Author

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  • Majumdar, Suman
  • Gilliland, Dennis
  • Hannan, James

Abstract

Uniform bounds on rates of L1-consistency for the empiric mean of state sequences in a family of probability models (compound with finite-mixture-state component) are obtained for MLEs (Section sec2) and posterior means for quasi-uniform hyperpriors (Section sec3), both determined in the iid mixture (empirical Bayes) sub-models. Qualitative aspects of results of this type were described by Robbins (1951). Application to the Gilliland and Hannan (1974/86) restricted-risk-finite-state-component compound decision problem (Section sec4) yields uniform bounds on rates of asymptotic regret of Bayes solutions therein (with extension to mixture-state by expectation), giving strong affirmation to an asymptotic form of a Robbins (1951) conjecture. The general extension to mixture-state components (Remark rem4.1) strengthens much of the existing compound literature.

Suggested Citation

  • Majumdar, Suman & Gilliland, Dennis & Hannan, James, 1999. "Bounds for robust maximum likelihood and posterior consistency in compound mixture state experiments," Statistics & Probability Letters, Elsevier, vol. 41(3), pages 215-227, February.
  • Handle: RePEc:eee:stapro:v:41:y:1999:i:3:p:215-227
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