Photo of Katrijn Van Deun
  • Prof. Cobbenhagenlaan 225, Simon Building, room S 718

    5037 DB Tilburg


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Personal profile

Research interests

My research focuses on the development of statistical tools for the analysis of so-called Big Data. These are data that come from multiple sources (for example, questionnaire and genetic data for the same group of persons) and that consist of a huge number of variables (often more than the number of observations, this is high-dimensional). These data elude existing statistical methods. Hence I develop novel methods for exploration and prediction with such data. In 2016 I received a personal grant from the Netherlands Organisation for Scientific Research to stimulate this research (VIDI grant).

Current courses

Click here for my courses.


JBM050: Statistical Computing

880260: Computational Statistics



  • Data Mining
  • Statistics
  • Methodology And Statistics

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Data integration Chemical Compounds
Genes Chemical Compounds
Unfolding Mathematics
Data Integration Mathematics
Singular value decomposition Chemical Compounds
Gene Mathematics
Escherichia coli Chemical Compounds
Functional Genomics Mathematics

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Research Output 2005 2018

Open Access
Statistical methods

Bayesian multilevel latent class models for the multiple imputation of nested categorical data

Vidotto, D., Vermunt, J. K. & van Deun, K. Oct 2018 In : Journal of Educational and Behavioral Statistics. 43, 5, p. 511-539

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Introducing SNAC: Sparse Network and Component model for integration of multi-source data

Tio, P., Waldorp, L. J. & Van Deun, K. 2018 23 p.

Research output: Working paperOther research output

Obtaining insights from high-dimensional data: Sparse principal covariates regression

Van Deun, K., Crompvoets, E. A. V. & Ceulemans, E. 2018 In : BMC Bioinformatics. 19, 104

Research output: Contribution to journalArticleScientificpeer-review

Open Access
High-dimensional Data

RegularizedSCA: Regularized Simultaneous Component Analysis of multiblock data in R

Gu, Z. & Van Deun, K. 29 Oct 2018 (Accepted/In press) In : Behavior Research Methods.

Research output: Contribution to journalArticleScientificpeer-review