Martin Tveten

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Ingrid Kristine GladProfessor of Statistics, University of OsloVerified email at math.uio.no
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Jonas MossAssistant professor in statistics, BI Norwegian Business SchoolVerified email at bi.no
Ola HaugSenior Research Scientist, Norwegian Computing CenterVerified email at nr.no
Solveig EngebretsenResearch scientist, Norwegian Computing CenterVerified email at nr.no
Kristoffer H. HelltonOslo Metropolitan UniversityVerified email at oslomet.no
Per August Jarval MoenPhD student, University of OsloVerified email at math.uio.no
Nils Lid HjortProfessor of Mathematical Statistics, University of OsloVerified email at math.uio.no

Martin Tveten

Senior Research Scientist, Norwegian Computing Center

Verified email at nr.no


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels J Moss, M Tveten Journal of Open Source Software 4 (42), 1566, 2019	13	2019
Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring M Tveten, IA Eckley, P Fearnhead Annals of Applied Statistics 16 (2), 721-743, 2022	12	2022
kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels. R package version 1.0. 1 J Moss, M Tveten	10	2019
Which principal components are most sensitive in the change detection problem? M Tveten Stat 8 (1), e252, 2019	10*	2019
Real-time prediction of propulsion motor overheating using machine learning KH Hellton, M Tveten, M Stakkeland, S Engebretsen, O Haug, M Aldrin Journal of Marine Engineering & Technology 21 (6), 334-342, 2022	8	2022
Online detection of sparse changes in high-dimensional data streams using tailored projections M Tveten, IK Glad arXiv preprint arXiv:1908.02029, 2019	3	2019
Multi-Stream Sequential Change Detection--Using Sparsity and Dimension Reduction M Tveten	2	2017
Efficient sparsity adaptive changepoint estimation PAJ Moen, IK Glad, M Tveten arXiv preprint arXiv:2306.04702, 2023	1	2023
Scalable change and anomaly detection in cross-correlated data M Tveten, IK Glad, NL Hjort Universitetet i Oslo, 2021		2021

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