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Conference papers
Joint segmentation of multivariate Gaussian processes using mixed linear models
Abstract : We consider the joint segmentation of multiple series. We use a mixed linear model to account for both covariates and correlations between signals. We propose an estimation algorithm based on EM which involves dynamic programming for the segmentation step. We show the computational e±ciency of this procedure. An application to microarray CGH profiles from multiple patients is presented.
Cited literature [3 references]
https://hal.inrae.fr/hal-02751255
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Submitted on : Wednesday, June 3, 2020 - 5:42:31 PM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM
Long-term archiving on: : Friday, December 4, 2020 - 5:21:32 PM
Contributor : Migration ProdInra Connect in order to contact the contributor
Submitted on : Wednesday, June 3, 2020 - 5:42:31 PM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM
Long-term archiving on: : Friday, December 4, 2020 - 5:21:32 PM
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