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Viser treff 1-7 av 7

2019
1 Moss, Jonas; Tveten, Martin.
kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels. Journal of Open Source Software (JOSS) 2019
UiO Untitled
 
2 Tveten, Martin.
Online detection of sparse changes in high-dimensional data streams using tailored projections. European Meeting of Statisticians 2019; 2019-07-22 - 2019-07-26
UiO Untitled
 
3 Tveten, Martin.
Which principal components are most sensitive in the change detection problem?. Stat 2019 ;Volum 8.(1)
UiO Untitled
 
4 Tveten, Martin.
Å studere matematikk ved UiO. Fagdager på Matematisk insitutt; 2019-02-26 - 2019-03-12
UiO Untitled
 
2018
5 Tveten, Martin.
Tailoring PCA for detecting sparse changes in multi-stream data. Joint Statistical Meeting 2018; 2018-07-28 - 2018-08-02
UiO Untitled
 
6 Tveten, Martin.
Tailoring PCA for detecting sparse changes in multi-stream data. Big Insight Day; 2018-10-29
UiO Untitled
 
2017
7 Tveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine.
Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017; 2017-09-12
UiO Untitled