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Discussion on "optimal sequential surveillance for finance, public health, and other areas" by Marianne Frisén

  • Stanford University

Research output: Contribution to journalArticlepeer-review

Abstract

We give some comments and supplementary results on Professor Frisen's comprehensive survey of sequential surveillance and its applications. Our discussion focuses on evaluation criteria and optimality, multivariate and Markov-dependent observations, financial and public health applications, and a tractable Bayesian model that can accommodate unknown pre- and post-change parameters and multiple change-points in passive surveillance.

Original languageEnglish
Pages (from-to)360-364
Number of pages5
JournalSequential Analysis
Volume28
Issue number3
DOIs
StatePublished - 2009

Keywords

  • Hidden Markov models
  • Multiple change-points
  • Sequential change-point detection
  • Surveillance

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