View publication

↩ Back to all publications
Publication
PropertyValue
Working Groups RG Li, RG Munk
SubprojectNone
Open AccessOpen Access Yes
Publication TypeJournal Article
Peer ReviewedYes
DOIDOI 10.1093/biomet/asac052
Publication Year2022
TitleSeeded binary segmentation: a general methodology for fast and optimal changepoint detection
JournalBiometrika
ISSN0006-3444
eISSN1464-3510
URL http://dx.doi.org/10.1093/biomet/asac052
Pages249-256
Issue1
Volume110
Journal AbbreviationBiometrika
AuthorsKovács S, Bühlmann P, Li H, Munk A
First AuthorKovács S
Last AuthorMunk A

 External Resources

 academic...52.pdf  Article fulltext

 gro-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)