Change-point detection, segmentation, and related topics
ESAIM. Proceedings, Tome 68 (2020), pp. 97-122.

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Recent contributions to change-point detection, segmentation and inference for non-regular models are presented. Various problems are considered including the multiple change-point estimation with adaptive penalty for time series with different dependency structures, estimation of the singularity point in cusp-type models, inference for thresholded autoregressive models, and cross-segmentation of matrices.
DOI : 10.1051/proc/202068006

Jean-Marc Bardet 1 ; Vincent Brault 2 ; Serguei Dachian 3 ; Farida Enikeeva 4 ; Bruno Saussereau 5

1 Equipe SAMM, Université Paris I, Bureau C20-11, 90 rue Tolbiac 75013 Paris, France
2 Univ. Grenoble Alpes, CNRS, Grenoble INP*, LJK, 38000 Grenoble, France
3 Université de Lille, CNRS, UMR 8524 — Laboratoire Paul Painlevé, F-59000 Lille, France
4 Laboratoire de Mathématiques et Applications, UMR 7348, CNRS, Université de Poitiers, Site du Futuroscope, Téléport 2, 11 Boulevard Marie et Pierre Curie, Bâtiment H3, TSA 61125, 86073 Poitiers Cedex 9, France
5 Laboratoire de mathématiques de Besançon, UMR 6623, CNRS Université Bourgogne Franche-Comté, 16 route de Cray, 25030 Besançon, France
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     title = {Change-point detection, segmentation, and related topics},
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Jean-Marc Bardet; Vincent Brault; Serguei Dachian; Farida Enikeeva; Bruno Saussereau. Change-point detection, segmentation, and related topics. ESAIM. Proceedings, Tome 68 (2020), pp. 97-122. doi : 10.1051/proc/202068006. http://geodesic.mathdoc.fr/articles/10.1051/proc/202068006/

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