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Publication profile

Publication profile

Martin Tveten

Martin, Tveten
Name: Martin Tveten
Title: Forsker / Research Scientist
Phone: (+47) 22852580 Mob: 98842616
Email: tveten [at] nr [dot] no
Scientific areas: Statistical analysis
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 Show publications

 

    Academic journal articles

    2019

    Moss, Jonas; Tveten, Martin. 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. 2019. Institutional archive 

    Tveten, Martin. Which principal components are most sensitive in the change detection problem? Stat (ISSN 2049-1573). 8(1) doi: 10.1002/sta4.252. 2019. Institutional archive 

    Academic lectures

    2021

    Tveten, Martin. Scalable changepoint and anomaly detection in cross-correlated data. Workshop, StatScale workshop 2021, 22.04.2021 - 23.04.2021.

    2019

    Tveten, Martin. Online detection of sparse changes in high-dimensional data streams using tailored projections. Konferanse, European Meeting of Statisticians 2019, 22.07.2019 - 26.07.2019.

    2018

    Tveten, Martin. Tailoring PCA for detecting sparse changes in multi-stream data. Seminar, Big Insight Day, 29.10.2018.

    2017

    Tveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine. Anomaly detection in maritime data streams. Konferanse, European Network for Business and Industrial Statistics ENBIS 2017; University of Naples Umberto II, 12.09.2017.

    Posters at scientific conferences

    2018

    Tveten, Martin. Tailoring PCA for detecting sparse changes in multi-stream data. Joint Statistical Meeting 2018, 28.07.2018 - 02.08.2018.

    Popular scientific lectures

    2019

    Tveten, Martin. Å studere matematikk ved UiO. Fagdager på Matematisk insitutt, 26.02.2019 - 12.03.2019.

    Programme management

    2021

    Løland, Anders; Tveten, Martin. Episode 9: Hvordan kan vi oppdage katastrofale avvik? Med gjest Martin Tveten. 2021.

Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
Address How to get to NR
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR