Research Output per year
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.
Teaching
JBM050: Statistical Computing
880260: Computational Statistics
Keywords
- Data Mining
- Statistics
- Methodology And Statistics
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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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2005 2019
Multiple salient goals pursued by job seekers in mandatory continuing professional education
Jacot, A., Raemdonck, I., Frenay, M. & Van Deun, K., 2019, (Accepted/In press) In : Vocations and Learning.Research output: Contribution to journal › Article › Scientific › peer-review
Pushing the boundaries for automated data reconciliation in official statistics
Daalmans, J. A., 2019, s.l.: Optima Grafische Communicatie. 144 p.Research output: Thesis › Doctoral Thesis › Scientific
Open Access
File
Reconciliation
Statistics
RegularizedSCA: Regularized Simultaneous Component Analysis of multiblock data in R
Gu, Z. & Van Deun, K., 2019, (Accepted/In press) In : Behavior Research Methods.Research output: Contribution to journal › Article › Scientific › peer-review
Information Storage and Retrieval
Computational Biology
Revealing the joint mechanisms in traditional data linked with big data
de Schipper, N. & Van Deun, K., 2019, (Accepted/In press) In : Zeitschrift für Psychologie.Research output: Contribution to journal › Article › Scientific › peer-review
Bayesian latent class models for the multiple imputation of categorical data
Vidotto, D., Vermunt, J. K. & Van Deun, K., Apr 2018, In : Methodology: European Journal of Research Methods for the Behavioral and Social Sciences. 14, 2, p. 56-68Research output: Contribution to journal › Article › Scientific › peer-review