Kristoffer Herland Hellton

Bilde av Kristoffer Herland Hellton
English version of this page
Telefon +47-22851149
Rom 822
Brukernavn
Besøksadresse Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postadresse 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

 

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

Publikasjoner

  • 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
  • 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
  • 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
  • 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
  • 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

Se alle arbeider i Cristin

  • Günther, Clara-Cecilie; Løland, Anders & Hellton, Kristoffer Herland (2017, 15. august). Arbeiderpartiet faller, men vinner.  Finansavisen.
  • Hellton, Kristoffer Herland (2017, 19. september). Ender med å velge det trygge.  Dagens næringsliv.
  • 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 & 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, 08. juli). Prognose, ikke en meningsmåling.  Finansavisen.
  • Løland, Anders; Günther, Clara-Cecilie & Hellton, Kristoffer Herland (2017, 15. juli). Prognose, ikke en meningsmåling . [Internett].  abc nyheter.
  • 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). Integrative clustering of high-dimensional data with joint and individual clusters.
  • Hellton, Kristoffer Herland (2015). Consistency of principal component scores in visualizations of high-dimensional data.
  • 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). 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). 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). 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 .
  • Hellton, Kristoffer Herland; Lindvall, Hilda; Mutimbu, Lawrence; Nieminen, P; Proscia, Michele & Micheletti, Alessandra (ed.) (2010). Integrative Analysis of Omics Data .

Se alle arbeider i Cristin

Publisert 6. aug. 2015 13:49 - Sist endret 8. juni 2017 11:36