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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/65724

Title: Change-points detection for variance piecewise constant models
Keywords: Physical Sciences
Issue Date: 2-Dec-2011
Publisher: Taylor & Francis
Abstract: Abstract A new approach based on the fit of a generalized linear regression model is introduced for detecting change-points in the variance of heteroscedastic Gaussian variables, with piecewise constant variance function. This approach overcome some limitations of both exact and approximate well known methods that are based on successive application of search and tend to overestimate the real number of changes in the variance of the series. The proposed method just requires the computation of a gamma GLM with log-link, resulting in a very efficient algorithm even with large sample size and many change points to be estimated.
URI: http://hdl.handle.net/2262/65724
ISSN: 0361-0918 (pISSN)
1532-4141 (eISSN)
0361-0918 (ISSN)
DOI: 10.1080/03610918.2011.592248
Affiliation: University of Palermo, Dipartimento Scienze Statistiche e Matematiche - Palermo - ITALY (adelfio, giada)
Appears in Collections:PEER Publications

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