Kristoffer Hellton

Senior Research Scientist at Norwegian Computing Center

2017-12-07

I’m statistician working at the Norwegian Computing Center and as postdoc at the Department of Mathematics, University of Oslo, in the FocuStat project. I have a PhD in Biostatistics from the Dept of Biostatistics, University of Oslo

My research interest are in particular prediction and dimension reduction techniques in high-dimensional data. My doctoral thesis dealt with the use of principal component analysis in genomics, in particular, with consistency issues in the high-dimensional situation (p >> n), measurement error and integration of different genetic data types. I have work extensively with principal component analysis, penalized regression and clustering, and I have recently also explored model selection and fine-tuning procedures.


Education

  • PhD in Biostatistics, University of Oslo, Dept. of Biostatistics
  • MSc in Industrial Mathematics, Norwegian University of Science and Technology, Trondheim

Publications

Hellton, K. H., A. Wik-Moeb, J. E. Nordrehaug, D Aarsland, G. Selbaek, and L. M. Giil. 2018. “Classical Principal Component Analysis Is Inappropriate for the Neuropsychiatric Inventory: A Novel Zero-in Ated Bivariate Poisson Approach.” In Preparation.

Hellton, Kristoffer H, and Magne Thoresen. 2016. “Integrative Clustering of High-Dimensional Data with Joint and Individual Clusters.” Biostatistics 17 (3). Oxford University Press: 537–48.

———. 2017. “When and Why Are Principal Component Scores a Good Tool for Visualizing High-Dimensional Data?” Scandinavian Journal of Statistics 44 (4). Wiley Online Library: 581–97.

Hellton, Kristoffer Herland, and Jo Røislien. 2017. “Verdens Fp-Verdi.” Tidsskrift for Den Norske Legeforening 137 (12). Norwegian Medical Association, Oslo, Norway: 1–3.

Hellton, Kristoffer Herland, and Magne Thoresen. 2014. “The Impact of Measurement Error on Principal Component Analysis.” Scandinavian Journal of Statistics 41 (4). Wiley Online Library: 1051–63.