| Property | Value |
|---|
| Working Groups |  RG Li,  RG Munk |
| Subproject | None |
| Open Access |  Yes |
| Publication Type | Preprint |
| Peer Reviewed | No |
| DOI |  10.48550/arxiv.2503.05270 |
| Publication Year | 2025 |
| Title | Online jump and kink detection in segmented linear regression: Statistical optimality meets computational efficiency |
| Journal | arXiv |
| eISSN | 2331-8422 |
| URL | https://arxiv.org/abs/2503.05270 |
| Journal Abbreviation | arXiv |
| Extra | Not yet finally published in a peer-reviewed journal, CRC 1456; title of version 1: "Optimal and fast online change point estimation in linear regression" |
| Authors | Hüselitz A, Li H, Munk A |
| First Author | Hüselitz A |
| Last Author | Munk A |
External Resources
arxiv.org/pdf/2503.05270https://arxiv.org/pdf/2503.05270
Article fulltext
62L12https://mathscinet.ams.org/mathscinet/msc/msc2020.html?t=&s=62L12
MSC2020 database identifier (62L12)
62C20https://mathscinet.ams.org/mathscinet/msc/msc2020.html?t=&s=62C20
MSC2020 database identifier (62C20)
62J20https://mathscinet.ams.org/mathscinet/msc/msc2020.html?t=&s=62J20
MSC2020 database identifier (62J20)
0000-0002-2434-9878https://orcid.org/0000-0002-2434-9878
ORCID identifier (Housen Li)
0000-0002-9181-9331https://orcid.org/0000-0002-9181-9331
ORCID identifier (Axel Munk)
05xy1nn52https://ror.org/05xy1nn52
ROR identifier (05xy1nn52, Multiscale Bioimaging)
01y9bpm73https://ror.org/01y9bpm73
ROR identifier (01y9bpm73, University of Göttingen)
SCR_002630https://scicrunch.org/resolver/SCR_002630
SciCrunch identifier (RRID:SCR_002630, GitHub)
SCR_001905https://scicrunch.org/resolver/SCR_001905
SciCrunch identifier (RRID:SCR_001905, R Project for Statistical Computing)
github.com/AnnikaHueselitz/FLOChttps://github.com/AnnikaHueselitz/FLOC
Supplemental material (code)
cdc.gov/...hs.htmhttps://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm
Supplemental material (data, reused)
cdc.gov/...9.htmlhttps://www.cdc.gov/museum/timeline/covid19.html
Supplemental material (data, reused)
mbexc.de...ssion/https://mbexc.de/optimal-and-fast-online-change-point-estimation-in-linear-regression/
Website entry (mbexc.de)
