Publication profile
Publication profile
Martin Tveten
Name:
Martin Tveten
Title:
Forsker / Research Scientist
Phone:
(+47) +47 22 85 25 80
Email:
tveten [at] nr [dot] no
Scientific areas:
Statistical analysis
Add to contacts (vCard) Show publications
Academic article
2022
. Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring. Annals of Applied Statistics (ISSN 1932-6157). 16(2) pp 721-743. doi: 10.1214/21-AOAS1508. 2022.
2021
. Real-time prediction of propulsion motor overheating using machine learning. Journal of Marine Engineering & Technology (ISSN 2046-4177). doi: 10.1080/20464177.2021.1978745. 2021. Arkiv
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. 2019. Arkiv
. Which principal components are most sensitive in the change detection problem? Stat (ISSN 2049-1573). 8(1) doi: 10.1002/sta4.252. 2019. Arkiv
Academic lecture
2022
. Changepoints in the wild. Statscale Early Career Researchers Meeting; Brighton, UK, 12/14/2022 1:00:00 AM - 12/16/2022.
2021
. Introduction to change detection. Friday AI Webinar; Digitalt, 9/24/2021.
. Scalable changepoint and anomaly detection in cross-correlated data. Simula@BI; Digitalt, 5/20/2021.
. Scalable changepoint and anomaly detection in cross-correlated data. StatScale workshop 2021, 4/22/2021 - 4/23/2021.
2019
. Online detection of sparse changes in high-dimensional data streams using tailored projections. European Meeting of Statisticians 2019, 7/22/2019 - 7/26/2019.
2018
. Tailoring PCA for detecting sparse changes in multi-stream data. Big Insight Day, 10/29/2018.
2017
. Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017; University of Naples Umberto II, 9/12/2017.
Poster
2018
. Tailoring PCA for detecting sparse changes in multi-stream data. Joint Statistical Meeting 2018, 7/28/2018 - 8/2/2018.
Doctoral dissertation
2021
. Scalable change and anomaly detection in cross-correlated data. Universitetet i Oslo. pp 161. 2021. Arkiv
Report
2019
. Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections. arXiv. pp 26. 2019. Fulltekst
Popular scientific lecture
2019
. Å studere matematikk ved UiO. Fagdager på Matematisk insitutt, 2/26/2019 - 3/12/2019.
Programme management
2022
2021
| Name: | Martin Tveten |
| Title: | Forsker / Research Scientist |
| Phone: | (+47) +47 22 85 25 80 |
| Email: | tveten [at] nr [dot] no |
| Scientific areas: | Statistical analysis |
| Add to contacts (vCard) |
| Show publications |
Academic article
2022
. Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring. Annals of Applied Statistics (ISSN 1932-6157). 16(2) pp 721-743. doi: 10.1214/21-AOAS1508. 2022.
2021
. Real-time prediction of propulsion motor overheating using machine learning. Journal of Marine Engineering & Technology (ISSN 2046-4177). doi: 10.1080/20464177.2021.1978745. 2021. Arkiv
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. 2019. Arkiv
. Which principal components are most sensitive in the change detection problem? Stat (ISSN 2049-1573). 8(1) doi: 10.1002/sta4.252. 2019. Arkiv
Academic lecture
2022
. Changepoints in the wild. Statscale Early Career Researchers Meeting; Brighton, UK, 12/14/2022 1:00:00 AM - 12/16/2022.
2021
. Introduction to change detection. Friday AI Webinar; Digitalt, 9/24/2021.
. Scalable changepoint and anomaly detection in cross-correlated data. Simula@BI; Digitalt, 5/20/2021.
. Scalable changepoint and anomaly detection in cross-correlated data. StatScale workshop 2021, 4/22/2021 - 4/23/2021.
2019
. Online detection of sparse changes in high-dimensional data streams using tailored projections. European Meeting of Statisticians 2019, 7/22/2019 - 7/26/2019.
2018
. Tailoring PCA for detecting sparse changes in multi-stream data. Big Insight Day, 10/29/2018.
2017
. Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017; University of Naples Umberto II, 9/12/2017.
Poster
2018
. Tailoring PCA for detecting sparse changes in multi-stream data. Joint Statistical Meeting 2018, 7/28/2018 - 8/2/2018.
Doctoral dissertation
2021
. Scalable change and anomaly detection in cross-correlated data. Universitetet i Oslo. pp 161. 2021. Arkiv
Report
2019
. Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections. arXiv. pp 26. 2019. Fulltekst
Popular scientific lecture
2019
. Å studere matematikk ved UiO. Fagdager på Matematisk insitutt, 2/26/2019 - 3/12/2019.
Programme management
2022
2021
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