Canadian Journal of Statistics

Reconstructing the history of forest fire frequency: Identifying hazard rate change points using the bayes information criterion

Journal Article

Abstract

A problem in model selection, namely the identification of multiple change points for a piece‐wise constant hazard rate, is discussed. A methodology using the Bayes Information Criterion is developed in an overdispersed survival model (with corresponding quasi‐likelihood function). The technique is used to identify changes in the historical frequency of forest fire. It is applied to two datasets derived from time‐since‐fire maps in the Canadian Rockies.

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