Kristoffer Herland Hellton

Postdoctoral Fellow - Statistics and biostatistics
Image of Kristoffer Herland Hellton
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Phone +47-22851149
Room 822
Username
Visiting address Niels Henrik Abels hus 0851 OSLO Moltke Moes vei 35
Postal address Postboks 1053 Blindern 0316 OSLO

Academic interests

High dimensional statistics, dimension reduction techniques, penalized regression, data integration methodologies and applications in genetics and biology

Courses taught

Background

My doctoral thesis dealt with the use of principal component analysis in genomics, in particular, consistency issues in high-dimensional data, measurement error and integration of different genetic data types.

Selected talks

Inference with Confidence, Workshop 2015: Principal component analysis and the asymptotic distribution of high-dimensional sample eigenvectors

Statistical Methods for Omics Data Integration and Analysis 2014: Integrative clustering of high-dimensional data with joint and data type-specic clusters, with an application to the Metabric study

Joint Statistical Meeting (JSM) 2013 Montreal: Why principal component scores are a good tool for exploring high-dimensional data

12th World Congress of Statistics and Probability 2012: The impact of measurement error on principal component analysis

Bestill en kreftforsker (populærvit. ved videregående skole) 2012: Skattejakten på genene våre - med statistikk som verktøy

Awards

  • NordStat2016 Copenhagen Poster Prize Award: Integrated clustering of high-dimensinal data with joint and individual clusters
  • ISCB 2013 München Poster Prize Award: On the consistency of principal component scores in high-dimensional

Positions held

Tags: Data Integration, high dimensional data, principal component analysis, Genomics

Publications

  • Hellton, Kristoffer Herland & Hjort, Nils Lid (2018). Fridge: Focused fine‐tuning of ridge regression for personalized predictions. Statistics in Medicine.  ISSN 0277-6715.  37(8), s 1290- 1303 . doi: 10.1002/sim.7576 Show summary
  • Hellton, Kristoffer Herland (2017). A focused mean squared error approach for selecting tuning parameters in penalized regression, In Barry D. Nussbaum (ed.),  2017 JSM proceedings : papers presented at the Joint Statistical Meetings.  American Statistical Association.  ISBN 9780983937579.  294 High-Dimensional Regression.  s 1553 - 1568 Show summary
  • Hellton, Kristoffer Herland & Thoresen, Magne (2017). When and Why are Principal Component Scores a Good Tool for Visualizing High-dimensional Data?. Scandinavian Journal of Statistics.  ISSN 0303-6898.  44, s 581- 597 . doi: 10.1111/sjos.12264 Full text in Research Archive.
  • Hellton, Kristoffer Herland (2016). When are principal component scores a good tool for visualizing high-dimensional data?. Oberwolfach Reports.  ISSN 1660-8933.  (12), s 20- 22 . doi: 10.4171/OWR/2016/12 Full text in Research Archive.
  • Hellton, Kristoffer Herland & Thoresen, Magne (2016). Integrative clustering of high-dimensional data with joint and individual clusters. Biostatistics.  ISSN 1465-4644.  17(3), s 537- 548 . doi: 10.1093/biostatistics/kxw005 Full text in Research Archive.
  • Hellton, Kristoffer Herland (2015). Consistency of principal component scores in visualizations of high-dimensional data, In Francisco J. Samaniego (ed.),  Proceedings of the 60th World Statistics Congress of the International Statistical Institute, ISI2015.  The International Statistical Institute.  ISBN 978-90-73592-35-3.  OR-C02.  s 3185 - 3190 Show summary
  • Hellton, Kristoffer Herland & Thoresen, Magne (2014). The Impact of Measurement Error on Principal Component Analysis. Scandinavian Journal of Statistics.  ISSN 0303-6898.  41(4), s 1051- 1063 . doi: 10.1111/sjos.12083 Full text in Research Archive.

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  • Hellton, Kristoffer Herland (2018). High-dimensional asymptotics for principal component regression.
  • Hellton, Kristoffer Herland (2018). Prediksjon av viral suksess: hvordan modellere spredning av et produkt mellom kunder?. Show summary
  • Løland, Anders & Hellton, Kristoffer Herland (2018). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Rognebakke, Hanne Therese Wist & Hellton, Kristoffer Herland (2018). Introduksjon til R – verktøy for statistisk analyse.
  • Günther, Clara-Cecilie; Løland, Anders & Hellton, Kristoffer Herland (2017, 15. august). Arbeiderpartiet faller, men vinner.  Finansavisen.
  • Hellton, Kristoffer Herland (2017, 08. september). Besøk i Dagbladets valgbod. [Internett].  db.no.
  • Hellton, Kristoffer Herland (2017, 19. september). Ender med å velge det trygge.  Dagens næringsliv.
  • Hellton, Kristoffer Herland (2017, 14. juli). Faktisk delvis sant: Delstaten Colorado var først ute med legalisering av cannabis. Der har bruken økt i alle aldersgrupper, også blant barn fra 12 til 17 år. [Internett].  faktisk.no. Show summary
  • Hellton, Kristoffer Herland (2017). Focused Fine-tuning of Ridge Regression for Personalized Prediction.
  • Hellton, Kristoffer Herland (2017). Personalized predictions through focused fine-tuning of ridge regression.
  • Hellton, Kristoffer Herland (2017). P-values: what is the problem?.
  • Hellton, Kristoffer Herland (2017). Significance for a modern world.
  • Hellton, Kristoffer Herland & Hjort, Nils Lid (2017). Fridge: focused fine-tuning of ridge regression for personalized prediction.
  • Hellton, Kristoffer Herland & Røislien, Jo (2017). Verdens første p-verdi. Tidsskrift for Den norske legeforening.  ISSN 0029-2001.  137(12), s 1- 3 . doi: 10.4045/tidsskr.17.0332
  • Løland, Anders; Günther, Clara-Cecilie & Hellton, Kristoffer Herland (2017, 15. juli). Prognose, ikke en meningsmåling. [Internett].  abc nyheter.
  • Løland, Anders; Günther, Clara-Cecilie & Hellton, Kristoffer Herland (2017, 08. juli). Prognose, ikke en meningsmåling.  Finansavisen.
  • Løland, Anders; Günther, Clara-Cecilie & Hellton, Kristoffer Herland (2017). Valgprognoser: hvorfor de er vanskelige og kanskje nyttige?.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Løland, Anders & Hellton, Kristoffer Herland (2017). Statistisk metode på 360 minutter – fra det enkle til det avanserte.
  • Hellton, Kristoffer Herland (2016). Focused fine-tuning of ridge regression.
  • Hellton, Kristoffer Herland (2016). Fridge: a focused approach to fine-tuning ridge regression.
  • Hellton, Kristoffer Herland (2016). Integrative clustering of high-dimensional data with joint and individual clusters.
  • Hellton, Kristoffer Herland (2016). Sju søyler med statistisk visdom. Show summary
  • Hellton, Kristoffer Herland (2016). When are principal component scores a good tool for visualizing high-dimensional data?.
  • Hellton, Kristoffer Herland & Zucknick, Manuela (2016). Drug synergy prediction for personalized therapy.
  • Hellton, Kristoffer Herland (2015). Consistency of principal component scores in visualizations of high-dimensional data.
  • Hellton, Kristoffer Herland (2015, 11. april). Denne 27-åringens regnestykker skal gi bedre kreftbehandling.  Budstikka. Show summary
  • Hellton, Kristoffer Herland (2015, 10. februar). Doktorgraden i boks.  Budstikka. Show summary
  • Hellton, Kristoffer Herland (2015). PCA and the asymptotic distribution of high-dimensional sample eigenvectors.
  • Hellton, Kristoffer Herland & Thoresen, Magne (2015). On high-dimensional principal component analysis in genomics: consistency and robustness.
  • Hellton, Kristoffer Herland (2014). Asymptotic distribution of principal component scores for pervasive, high-dimensional eigenvectors.
  • Hellton, Kristoffer Herland (2014). Integrative Clustering of High-dimensional Data with Joint and Individual Clusters.
  • Hellton, Kristoffer Herland (2014). Skattejakten på genene våre – med statistikk som verktøy.
  • Hellton, Kristoffer Herland (2013). Asymptotic distribution of principal component scores for pervasive, high-dimensional eigenvectors.
  • Hellton, Kristoffer Herland (2013). Consistency in high-dimensional principal component analysis. Show summary
  • Hellton, Kristoffer Herland (2013). Issues regarding principal component analysis in the high-dimensional setting.
  • Hellton, Kristoffer Herland (2013). Why PC scores are a good way to explore certain high-dimensional data.
  • Hellton, Kristoffer Herland (2013). Why principal component scores are a good exploratory tool for high-dimensional data.
  • Hellton, Kristoffer Herland (2012). Projecting errors: How to understand measurement error in principal component analysis.
  • Hellton, Kristoffer Herland (2012). Skattejakten på genene våre – med statistikk som verktøy.
  • Hellton, Kristoffer Herland (2012). The impact of measurement error on principal component analysis.
  • Hellton, Kristoffer Herland (2012). The impact of measurement error on principal component analysis.
  • Hellton, Kristoffer Herland; Rue, Håvard & Simpson, Daniel Peter (2011). Stochastic Models for Smoothing Splines: A Bayesian Approach. Show summary
  • Hellton, Kristoffer Herland; Lindvall, Hilda; Mutimbu, Lawrence; Nieminen, P; Proscia, Michele & Micheletti, Alessandra (ed.) (2010). Integrative Analysis of Omics Data.

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Published Aug. 6, 2015 1:54 PM - Last modified Nov. 10, 2016 1:05 PM