Mean square convergence rates for maximum quasi-likelihood estimators

A.V. den Boer, Bert Zwart

Research output: Contribution to journalArticleAcademicpeer-review

68 Downloads (Pure)

Abstract

In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of statistical models, in which only knowledge about the first two moments of the response variable is assumed. This class includes, but is not restricted to, generalized linear models with general link function. Our main results are related to guarantees on existence, strong consistency and mean square convergence rates of MQLEs. The rates are obtained from first principles and are stronger than known a.s. rates. Our results find important application in sequential decision problems with parametric uncertainty arising in dynamic pricing.
Original languageEnglish
Pages (from-to)375-403
Number of pages29
JournalStochastic systems
Volume4
Issue number2
DOIs
Publication statusPublished - 2014

Keywords

  • EWI-24698
  • IR-95420
  • METIS-312438

Fingerprint Dive into the research topics of 'Mean square convergence rates for maximum quasi-likelihood estimators'. Together they form a unique fingerprint.

Cite this