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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 3 Good Health and Well-being -
SDG 5 Gender Equality -
SDG 10 Reduced Inequalities
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Collaborations and top research areas from the last five years
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A tutorial on Bayesian hypothesis testing of correlation coefficients using the BFpack-module in JASP
Mulder, J., Pfadt, J. & Wagenmakers, E.-J., 13 Oct 2025, In: Behavior Research Methods. 57, 11, 26 p., 311.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Downloads (Pure) -
Bayes factor hypothesis testing in meta-analyses: Practical advantages and methodological considerations
Mulder, J. & van Aert, R., Dec 2025, (E-pub ahead of print) In: Research Synthesis Methods. 35 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Comment on García-Donato et al. (2025) "Model uncertainty and missing data: An objective Bayesian perspective"
Mulder, J., Dec 2025, In: Bayesian Analysis. 20, 4, p. 1722-1724 3 p.Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review
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Honey, I shrunk the irrelevant effects! Simple and flexible approximate Bayesian regularization
Karimova, D., van Erp, S., Leenders, R. T. A. J. & Mulder, J., Aug 2025, In: Journal of Mathematical Psychology. 126, 16 p., 102925.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Modelling non-linear personality change surrounding transitions: A review of statistical approaches
Levelt, L., Mulder, J., Lee, N. C., Luhmann, M. & Denissen, J. J. A., Sept 2025, (E-pub ahead of print) In: European Journal of Personality. 27 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access
Datasets
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Replication Data for: Stereotype threat experiment – high schools - 2016/2017
Flore, P. (Creator), Mulder, J. (Creator) & Wicherts, J. M. (Creator), DataverseNL, 8 Mar 2018
DOI: 10.34894/q0l4ah, https://dataverse.nl/citation?persistentId=doi:10.34894/Q0L4AH
Dataset
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Discovering trends of social interaction behavior over time: An introduction to relational event modeling
Meijerink, M. (Creator), Back, M. D. (Creator), Geukes, K. (Creator), Leenders, R. (Creator) & Mulder, J. (Creator), OSF, 2020
Dataset
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Bayesian testing of linear versus nonlinear effects using Gaussian process priors
Mulder, J. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.18613633, https://tandf.figshare.com/articles/dataset/Bayesian_testing_of_linear_versus_nonlinear_effects_using_Gaussian_process_priors/18613633
Dataset
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Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity
Kavelaars, X. (Creator), Mulder, J. (Creator) & Kaptein, M. (Creator), Taylor & Francis, 11 May 2024
DOI: 10.6084/m9.figshare.25801638, https://tandf.figshare.com/articles/dataset/Bayesian_Multivariate_Logistic_Regression_for_Superiority_and_Inferiority_Decision-Making_under_Observable_Treatment_Heterogeneity/25801638
Dataset