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 language | English |
|---|---|
| Pages (from-to) | 360-364 |
| Number of pages | 5 |
| Journal | Sequential Analysis |
| Volume | 28 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2009 |
Keywords
- Hidden Markov models
- Multiple change-points
- Sequential change-point detection
- Surveillance
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