Kristoffer H. Hellton
Kristoffer H. Hellton
Verifisert e-postadresse på - Startside
TittelSitert avÅr
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
Integrative clustering of high-dimensional data with joint and individual clusters
KH Hellton, M Thoresen
Biostatistics 17 (3), 537-548, 2016
The impact of measurement error on principal component analysis
KH Hellton, M Thoresen
Scandinavian Journal of Statistics 41 (4), 1051-1063, 2014
Asymptotic distribution of principal component scores for pervasive, high-dimensional eigenvectors
K Hellton, M Thoresen
arXiv preprint arXiv:1401.2781, 2014
Fridge: Focused fine‐tuning of ridge regression for personalized predictions
KH Hellton, NL Hjort
Statistics in medicine 37 (8), 1290-1303, 2018
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
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
Antibodies to multiple receptors are associated with neuropsychiatric symptoms and mortality in Alzheimer’s disease: a longitudinal study
LM Giil, D Aarsland, K Hellton, A Lund, H Heidecke, K Schulze-Forster, ...
Journal of Alzheimer's Disease 64 (3), 761-774, 2018
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
Stochastic Models for Smoothing Splines: A Bayesian Approach
KH Hellton
Institutt for matematiske fag, 2011
Influence of single observations on the choice of the penalty parameter in ridge regression
KH Hellton, C Lingjærde, R De Bin
arXiv preprint arXiv:1911.03662, 2019
Tuning parameter calibration for prediction in personalized medicine
ST Huang, Y Düren, KH Hellton, J Lederer
arXiv preprint arXiv:1909.10635, 2019
Postprocessing seasonal weather forecasts
C Heinrich, KH Hellton, A Lenkoski, TL Thorarinsdottir
arXiv preprint arXiv:1907.09716, 2019
Serum Potassium Is Associated with Cognitive Decline in Patients with Lewy Body Dementia
LM Giil, SEH Solvang, MM Giil, KH Hellton, RE Skogseth, AO Vik-Mo, ...
Journal of Alzheimer's Disease, 1-16, 2019
Multiple Model-Free Knockoffs
L Holden, KH Helton
arXiv preprint arXiv:1812.04928, 2018
The world's first p-value
KH Hellton, J Røislien
Tidsskrift for den Norske laegeforening: tidsskrift for praktisk medicin, ny …, 2017
New Developments in Functional and Highly Multivariate Statistical Methodology
G Claeskens, H Dette, I Gijbels, P Hall
Oberwolfach Reports 2016 (12), 20-22, 2016
On high-dimensional principal component analysis in genomics: consistency and robustness
KH Hellton
University of Oslo, Department of Biostatistics, 2014
Why principal component scores are a good exploratory tool for high-dimensional data
K Hellton, M Thoresen
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