Joris Mulder

发表

BAYESIAN NETWORK MODELS FOR LOCAL DEPENDENCE AMONG OBSERVABLE OUTCOME VARIABLES

Russell G. Almond, Duanli Yan, Lisa A. Hemat, 2006 .

Advancing structural equation modeling with unbiased Bayesian methods

Joris Mulder, J. K. Vermunt, S. J. van Erp, 2015 .

Bayesian estimation of the network autocorrelation model

Joris Mulder, Dino Dittrich, Roger Th. A. J. Leenders, 2017, Soc. Networks.

Computing Bayes factors from data with missing values.

Herbert Hoijtink, Xin Gu, Yves Rosseel, 2019, Psychological methods.

Shrinkage priors for Bayesian penalized regression

Daniel L. Oberski, Joris Mulder, Sara van Erp, 2018 .

Bayesian testing of constrained hypotheses

Joris Mulder, 2016 .

Modeling the evolution of interaction behavior in social networks: A dynamic relational event approach for real-time analysis

Joris Mulder, Roger Th. A. J. Leenders, R. Leenders, 2019, Chaos, Solitons & Fractals.

Editors’ introduction to the special issue “Bayes factors for testing hypotheses in psychological research : Practical relevance and new developments”

Eric-Jan Wagenmakers, Joris Mulder, E. Wagenmakers, 2016 .

Bayesian Network Models for Local Dependence Among Observable Outcome Variables

Russell G. Almond, Duanli Yan, Lisa A. Hemat, 2006 .

BIC Extensions for Order-constrained Model Selection

Adrian E. Raftery, Joris Mulder, A. Raftery, 2018, Sociological methods & research.

Complex Latent Variable Modeling in Educational Assessment

Jean-Paul Fox, Joris Mulder, Maarten Marsman, 2016, Commun. Stat. Simul. Comput..

A tutorial on testing hypotheses using the Bayes factor.

Herbert Hoijtink, Xin Gu, Joris Mulder, 2019, Psychological methods.

Multidimensional adaptive testing with Kullback-Leibler information item selection

Wim J. van der Linden, Joris Mulder, 2009 .

On the Ubiquity of Information Inconsistency for Conjugate Priors

James O. Berger, M. J. Bayarri, Joris Mulder, 2017 .

Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses

Joris Mulder, J. Mulder, 2014, Comput. Stat. Data Anal..

Bayesian tests on components of the compound symmetry covariance matrix

Jean-Paul Fox, Joris Mulder, J. Fox, 2013, Stat. Comput..

A Latent Variable Model for Relational Events with Multiple Receivers

Peter D. Hoff, Joris Mulder, 2021 .

Bayes factor testing of equality and order constraints on measures of association in social research

Joris Mulder, John P.T.M. Gelissen, J. Mulder, 2018, Journal of applied statistics.

On Accepting the Null Hypothesis of Conditional Independence in Partial Correlation Networks: A Bayesian Analysis

Joris Mulder, Paul Linkowski, Giovanni Briganti, 2021 .

Bayesian Testing of Linear Versus Nonlinear Effects Using Gaussian Process Priors

Joris Mulder, J. Mulder, 2021, The American Statistician.

A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks

Joris Mulder, Roger Th. A. J. Leenders, Giuseppe Arena, 2021 .

Illustrating Bayesian Evaluation of Informative Hypotheses for Regression Models

Herbert Hoijtink, Joris Mulder, Rens van de Schoot, 2012, Front. Psychology.

The influence of gender stereotype threat on mathematics test scores of Dutch high school students: a registered report

Jelte M. Wicherts, Joris Mulder, J. Wicherts, 2018 .

Relative Effects at Work

Stephen Wood, Johan Braeken, Joris Mulder, 2015 .

Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses

Herbert Hoijtink, Joris Mulder, H. Hoijtink, 2018, The British journal of mathematical and statistical psychology.

Equality and inequality constrained multivariate linear models: objective model selection using constrained posterior priors

Herbert Hoijtink, Joris Mulder, Irene Klugkist, 2010 .

The Matrix-F Prior for Estimating and Testing Covariance Matrices

Joris Mulder, Luis R. Pericchi, L. Pericchi, 2018, Bayesian Analysis.

Bayes factors for testing order-constrained hypotheses on correlations

Joris Mulder, J. Mulder, 2016 .

Bayesian model selection of informative hypotheses for repeated measurements

Rens van de Schoot, Herbert Hoijtink, Joris Mulder, 2009 .

Automatic Bayes Factors for Testing Equality- and Inequality-Constrained Hypotheses on Variances

Joris Mulder, J. Mulder, F. Böing-Messing, 2018, Psychometrika.

Bayesian evaluation of informative hypotheses for multiple populations.

Herbert Hoijtink, Joris Mulder, H. Hoijtink, 2018, The British journal of mathematical and statistical psychology.

Bayes Factor Covariance Testing in Item Response Models

Jean-Paul Fox, Sandip Sinharay, Joris Mulder, 2017, Psychometrika.

Bayesian evaluation of inequality constrained hypotheses.

Herbert Hoijtink, Joris Mulder, Maja Deković, 2014, Psychological methods.

Bayes factors for testing inequality constrained hypotheses: Issues with prior specification.

Joris Mulder, J. Mulder, 2014, The British journal of mathematical and statistical psychology.

The weight of representing the body: addressing the potentially indefinite number of body representations in healthy individuals

H. Chris Dijkerman, Joris Mulder, Marjolein P. M. Kammers, 2009, Experimental Brain Research.

Automatic Bayes factors for testing variances of two independent normal distributions

Joris Mulder, J. Mulder, F. Böing-Messing, 2016 .

Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection.

Jan-Willem Romeijn, Herbert Hoijtink, Joris Mulder, 2011, Developmental psychology.

Bayes Factor Testing of Multiple Intraclass Correlations

Jean-Paul Fox, Joris Mulder, J. Fox, 2019, Bayesian Analysis.

BIEMS: A Fortran 90 Program for Calculating Bayes Factors for Inequality and Equality Constrained Models

Herbert Hoijtink, Joris Mulder, H. Hoijtink, 2012 .

One after the other: Effects of sequence patterns of breached and overfulfilled obligations

Joris Mulder, T. Rigotti, J. Mulder, 2017 .

Bayesian Evaluation of Constrained Hypotheses on Variances of Multiple Independent Groups

Abe D. Hofman, Herbert Hoijtink, Joris Mulder, 2017, Psychological methods.

Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling

Joris Mulder, Daniel L. Oberski, Daniel L Oberski, 2017, Psychological methods.