Martin Tveten

Publikasjoner
- Moss, Jonas & Tveten, Martin (2019). kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels. Journal of Open Source Software (JOSS). ISSN 2475-9066. . doi: 10.21105/joss.01566 Fulltekst i vitenarkiv.
- Tveten, Martin (2019). Which principal components are most sensitive in the change detection problem?. Stat. ISSN 2049-1573. 8(1) . doi: 10.1002/sta4.252 Fulltekst i vitenarkiv.
- Løland, Anders & Tveten, Martin (2021, 21. januar). Episode 9: Hvordan kan vi oppdage katastrofale avvik? Med gjest Martin Tveten. [Internett]. Sannsynligvis VIKTIG (podkast).
- Tveten, Martin (2019). Online detection of sparse changes in high-dimensional data streams using tailored projections.
- Tveten, Martin (2019). Å studere matematikk ved UiO.
- Tveten, Martin (2018). Tailoring PCA for detecting sparse changes in multi-stream data.
- Tveten, Martin (2018). Tailoring PCA for detecting sparse changes in multi-stream data.
- Tveten, Martin; Brandsæter, Andreas & Glad, Ingrid Kristine (2017). Anomaly detection in maritime data streams.
Publisert 11. aug. 2017 10:25
- Sist endret 23. apr. 2020 13:13