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Publication
Property Value
Working Groups RG Li, RG Munk
Subproject None
Open Access Open Access  Yes
Publication Type Journal Article
Peer Reviewed Yes
DOI DOI  10.1093/biomet/asac052
Publication Year 2022
Title Seeded binary segmentation: a general methodology for fast and optimal changepoint detection
Journal Biometrika
ISSN 0006-3444
eISSN 1464-3510
URL  http://dx.doi.org/10.1093/biomet/asac052
Pages 249-256
Issue 1
Volume 110
Journal Abbreviation Biometrika
Authors Kovács S, Bühlmann P, Li H, Munk A
First Author Kovács S
Last Author Munk A

 External Resources

 academic...52.pdf Article fulltext

 2/120950 GRO.publications identifier

 0000-0002-2434-9878 ORCID identifier (Housen Li)

 0000-0002-9181-9331 ORCID identifier (Axel Munk)

 195 Published Data Registry entry (MBExC, preprint)

 1/199 Research Data Archive (supplemental material)

 05a28rw58 ROR identifier (05a28rw58, ETH Zurich)

 05xy1nn52 ROR identifier (05xy1nn52, Multiscale Bioimaging)

 01y9bpm73 ROR identifier (01y9bpm73, University of Göttingen)

 SCR_003005 SciCrunch identifier (RRID:SCR_003005, CRAN)

 SCR_001905 SciCrunch identifier (RRID:SCR_001905, R Project for Statistical Computing)

 SCR_014213 SciCrunch identifier (RRID:SCR_014213, STATISTICA)

 github.c...Points Supplemental material (code)

 mbexc.de...ction/ Website entry (mbexc.de)