Photo of Joris Mulder

Joris Mulder

dr.ir.

 https://orcid.org/0000-0001-7007-3086

  • Prof. Cobbenhagenlaan 225, Simon Building, room S 715

    5037 DB Tilburg

    Netherlands

20082020

Research output per year

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Personal profile

Research interests

 

  • Bayesian statistics
  • (In)equality constrained modeling
  • Social network analysis
  • Computerized adaptive testing

Career

  • 2017 - present. Associate professor, Department of Methodology & Statistics, TiU.
  • 2010 - 2017. Assistant professor, Department of Methodology & Statistics, TiU.
  • 2006 - 2010. Ph.D. student, Department of Methodology & Statistics, UU. Dissertation: "Bayesian Model Selection for Constrained Multivariate Normal Linear Models". Promotor: Prof. dr. Herbert Hoijtink.
  • 2005 - 2006. Graduation Assignment at the Department of Research Methodology, Measurement and Data Analysis (OMD) at the faculty of Behavioral Sciences, UT, supervised by Prof. dr. Wim J. van der Linden.
  • 2004 - 2005. Internship at Educational Testing Service (ETS), Princeton,NJ, USA, supervised by Russell G. Almond, PhD.

Current courses

Click here for my courses.

Keywords

  • Social Networks
  • Mathematical Statistics
  • Bayesian Statistics

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Research Output

Bayes factors for testing order constraints on variances of dependent outcomes

Böing-Messing, F. & Mulder, J., 2020, In : The American Statistician. 10 p.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
    • 1 Downloads (Pure)

    Bayesian analysis of higher-order network autocorrelation models

    Dittrich, D., Leenders, R. & Mulder, J., 2020, (Accepted/In press) In : Sociological Methodology.

    Research output: Contribution to journal › Article › Scientific › peer-review

    • BIC extensions for order-constrained model selection

    Mulder, J. & Raftery, A. E., 2020, In : Sociological Methods & Research. 28 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    • 2 Downloads (Pure)

    On the prevalence of information inconsistency in normal linear models

    Mulder, J., Berger, J. O., Peña, V. & Bayarri, M. J., 2020, In : Test. 30 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    • 1 Downloads (Pure)

    On the ubiquity of information inconsistency for conjugate priors

    Mulder, J., Berger, J. O., Pena, V. & Bayarri, M. J., 2020, (Accepted/In press) In : Test.

    Research output: Contribution to journal › Article › Scientific › peer-review