Прати
Kristoffer H. Hellton
Kristoffer H. Hellton
Oslo Metropolitan University
Верификована је имејл адреса на oslomet.no
Наслов
Навело
Навело
Година
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 2674, 2019
3262019
Covariate selection in high-dimensional generalized linear models with measurement error
Ø Sørensen, KH Hellton, A Frigessi, M Thoresen
Journal of Computational and Graphical Statistics 27 (4), 739-749, 2018
562018
Integrative clustering of high-dimensional data with joint and individual clusters
KH Hellton, M Thoresen
Biostatistics 17 (3), 537-548, 2016
372016
The impact of measurement error on principal component analysis
KH Hellton, M Thoresen
Scandinavian Journal of Statistics 41 (4), 1051-1063, 2014
352014
Bayesian regional flood frequency analysis for large catchments
TL Thorarinsdottir, KH Hellton, GH Steinbakk, L Schlichting, K Engeland
Water Resources Research 54 (9), 6929-6947, 2018
322018
Fridge: Focused fine‐tuning of ridge regression for personalized predictions
KH Hellton, NL Hjort
Statistics in medicine 37 (8), 1290-1303, 2018
272018
Multivariate postprocessing methods for high-dimensional seasonal weather forecasts
C Heinrich, KH Hellton, A Lenkoski, TL Thorarinsdottir
Journal of the American Statistical Association 116 (535), 1048-1059, 2021
202021
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
132022
Tuning parameter calibration for prediction in personalized medicine
ST Huang, Y Düren, KH Hellton, J Lederer
arXiv preprint arXiv:1909.10635, 2019
122019
When and Why are Principal Component Scores a Good Tool for Visualizing High‐dimensional Data?
KH Hellton, M Thoresen
Scandinavian Journal of Statistics 44 (3), 581–597, 2017
122017
The truth behind the zeros: A new approach to principal component analysis of the Neuropsychiatric Inventory
KH Hellton, J Cummings, AO Vik-Mo, JE Nordrehaug, D Aarsland, ...
Multivariate behavioral research 56 (1), 70-85, 2021
92021
An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product
R Parviero, KH Hellton, O Haug, K Engø-Monsen, H Rognebakke, ...
International Journal of Information Management Data Insights 2 (2), 100127, 2022
82022
Tuning parameter calibration for personalized prediction in medicine
ST Huang, Y Düren, KH Hellton, J Lederer
Electronic Journal of Statistics 15 (2), 5310-5332, 2021
52021
Asymptotic distribution of principal component scores for pervasive, high-dimensional eigenvectors
K Hellton, M Thoresen
arXiv preprint arXiv:1401.2781, 2014
52014
Multiple model-free knockoffs
L Holden, K Hellton
arXiv preprint arXiv:1812.04928, 2018
42018
Influence of single observations on the choice of the penalty parameter in ridge regression
KH Hellton, C Lingjærde, R De Bin
Journal of Statistical Computation and Simulation, 1-19, 2024
32024
Integrative clustering of high-dimensional data with joint and individual clusters, with an application to the Metabric study
K Hellton, M Thoresen
arXiv preprint arXiv:1410.8679, 2014
32014
Penalized angular regression for personalized predictions
KH Hellton
Scandinavian Journal of Statistics 50 (1), 184-212, 2023
22023
Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios
KH Hellton, H Amdahl, T Thorarinsdottir, M Alsheikh, T Aamlid, ...
Agricultural and Food Science, 2023
22023
Verdens første p-verdi
KH Hellton, J Røislien
Tidsskrift for Den norske legeforening, 2017
12017
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Чланци 1–20