Optimal multiple change-point detection for high-dimensional data

Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen

DOI: 10.1214/23-ejs2126
Published: 2023-01-01
Container: Electronic Journal of Statistics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1214/23-ejs2126,
  title = {Optimal multiple change-point detection for high-dimensional data},
  author = {Emmanuel Pilliat and Alexandra Carpentier and Nicolas Verzelen},
  year = {2023},
  journal = {Electronic Journal of Statistics},
  doi = {10.1214/23-ejs2126},
  url = {https://doi.org/10.1214/23-ejs2126}
}

RIS

TY  - JOUR
TI  - Optimal multiple change-point detection for high-dimensional data
AU  - Emmanuel Pilliat
AU  - Alexandra Carpentier
AU  - Nicolas Verzelen
PY  - 2023
JO  - Electronic Journal of Statistics
DO  - 10.1214/23-ejs2126
UR  - https://doi.org/10.1214/23-ejs2126
ER  -

APA

Pilliat, E., Carpentier, A., & Verzelen, N. (2023). Optimal multiple change-point detection for high-dimensional data. Electronic Journal of Statistics. https://doi.org/10.1214/23-ejs2126

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hal · retrieved 2026-11-10T06:53:54.970Z