Mulder, J. & Pericchi, L. R. “The matrix-F prior for estimating and testing covariance matrices” (invited). Machine Learning Group, Center for Mathematics and Computer Science (CWI). (March, 2018) (slides)

Mulder & Leenders. “On the Evolution of Statistical Evidence in Dynamic Social Networks” (invited). Social Networks Working Group, UC Irvine. (Oct 2017) (slides)

Mulder. “Bayesian testing of equality and order-constrained hypotheses: applications, methodology & software” (invited). Department of Sociology, UC Irvine. (Oct 2017) (slides)

Mulder, J.  An introduction to Bayesian statistics and its application to scientific studies. Webinar for the Society for the Study of Human Development (SSHD) (Nov. 2016).

Mulder, J. Bayesian hypothesis testing in social research (keynote). CRiSM Workshop: Contemporary Issues in Hypothesis Testing. University of Warwick, Coventry, UK (September 2016). (slides)

Mulder, J. Recent developments in Bayesian hypothesis testing (keynote). Summer 2016 meeting of the International graduate school of psychometrics and sociometrics. University of Twente, The Netherlands (June 2016).

Mulder, J.  An introduction to Bayesian statistics and its application to scientific studies: Basics of a Bayesian data analysis & Testing complex scientific theories in psychological research. Invited presentation at the Department of Psychology, University of Puerto Rico, PR (Oct. 2015).

Mulder, J. & Fox, J.-P. Bayesian testing of intraclass coefficients. Invited talk for Tyler McCormick’s Research Group, University of Washington, Seattle, USA (June 2015).

Mulder, J. & Fox, J.-P. Bayesian testing of intraclass coefficients. Invited talk for Adrian Raftery’s Working Group on Applied, Bayesian, and Computational Statistics, University of Washington, Seattle, USA (May 2015).

Mulder, J., Berger, J., & Bayarri, M. J. Default Bayes factors for testing (in)equality constrained hypotheses in social science research. Invited seminar for the Department of Statistics, University of Washington, Seattle, USA (May 2015).

Mulder, J., Braeken, J., & Wood, S. Relative effects at work: Bayes factors for order hypotheses. Invited presentation for the Center for Statistics and the Social Sciences, University of Washington, Seattle, USA (May 2015).

Mulder, J., Berger, J., & Bayarri, M. J. Default Bayes factors in social science research: Issues with priors specification & Information inconsistency. Invited seminar for the Department of Applied Mathematics and Statistics, University of California (UCSC), Santa Cruz, USA (March 2015).

Mulder, J., Braeken, J., & Wood, S. Relative effects at work: Bayes factors for order hypotheses. Invited presentation for the Department of Organization, Open University, Heerlen, the Netherlands (Dec 2014).

Mulder, J. & Fox, J.-P. Fractional Bayes factors for testing of intraclass coefficients. Presented during the special topic session “Hierarchical Bayesian models for multivariate meta-analysis” for the International Society for Bayesian Analysis World Meeting 2014, Cancún, Mexico (July 2014).

Mulder, J., Hoijtink, J., & De Leeuw, C. Default Bayesian hypothesis testing using BIEMS. Invited talk for the Workshop on Constrained Statistical Inference, The Netherlands (June 2014).

Mulder, J., Braeken, J., & Wood, S. Relative effects at work: Bayes factors for order hypotheses. Invited talk for Organization Studies, Tilburg University, The Netherlands (March 2014).

Mulder, J. Bayes factors for testing order-constrained hypotheses on correlations. Presentation during the Joint Statistical Meeting (JSM) 2013 World Meeting, Montréal, Canada (Aug 2013).

Mulder, J. Bayes factors for testing order-constrained hypotheses on correlations. International Federation of Classification Societies 2013, Tilburg University, the Netherlands (July 2013).

Mulder, J. Default Bayes factors for testing hypotheses in social science research. Seminar at the Department of Methodology and Statistics, Tilburg University, The Netherlands (Oct 2012).

Mulder, J. Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses. Presented during the special topic session “Bayesian model assessment” for the International Society for Bayesian Analysis World Meeting 2012 , Kyoto, Japan (June 2012).

Mulder, J. Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses. Invited talk during the workshop on “Inequality constrained estimation and inference”, Hasselt University, Belgium (Dec 2011).

Mulder, J. & Fox, J.-P. Bayesian testing of compound symmetry covariance structures. Presentation during the Joint Statistical Meeting 2011, Miami Beach, FL, USA (Aug 2011).

Mulder, J. Bayes factors for testing (in)equality constrained hypotheses. Invited seminar for the Department of Biostatistics and Epidemiology, University of California (UCSF), San Francisco, CA, USA (June 2010).

Mulder, J., Klugkist, I., Meeus, W., van de Schoot, A., Selfhout, M., & Hoijtink, H. Bayes factors for testing constrained hypotheses in repeated measurements studies. 42nd Annual Meeting of the Society for Mathematical Psychology, Amsterdam, The Netherlands (Aug 2009).

Mulder, J., Hoijtink, H., & Klugkist, I. Objective Bayes factors for testing (in)equality constrained hypotheses using constrained posterior priors. Invited talk during the Interuniversity graduate school of Psychometrics and Sociometrics (IOPS).  Winter Conference, Groningen, The Netherlands (Dec 2009).

Mulder, J., Hoijtink, H., & Klugkist, I. Objective Bayes factors for testing (in)equality constrained hypotheses using constrained posterior priors. Invited Presentation during the 3rd Workshop on Inequality Constrained Modeling, UU (Oct 2008).

Almond, R. G., Mulder, J., Hemat, L. A., & Yan, D. Bayesian network models for local dependence among observable outcome variables. 3rd Annual Bayesian Application Workshop at the 21st Conference on Uncertainty in Artificial Intelligence, Edinburg, UK (July 2005).

Mulder, J. & Van der Linden, W. J. Multidimensional adaptive testing with optimal design criterion for item selection”. 22nd Workshop on Item Response Theory, University of Twente, The Netherlands (Sept 2006).

Mulder, J. & Van der Linden, W. J. Multidimensional adaptive testing with Kullback-Leibler information item selection”. 21st Workshop on Item Response Theory, University of Twente, The Netherlands (Sept 2005).

Mulder, J. & Almond, R. G. Bayesian network models for local dependence among observable outcome variables. Invited seminar for Educational Testing Service, Princeton, NJ, USA (Jan 2005).