Shrinkage priors for Bayesian penalized regression S Van Erp, DL Oberski, J Mulder Journal of Mathematical Psychology 89, 31-50, 2019 | 143 | 2019 |

A tutorial on testing hypotheses using the Bayes factor. H Hoijtink, J Mulder, C van Lissa, X Gu Psychological methods 24 (5), 539, 2019 | 135 | 2019 |

Equality and inequality constrained multivariate linear models: Objective model selection using constrained posterior priors J Mulder, H Hoijtink, I Klugkist Journal of Statistical Planning and Inference 140 (4), 887-906, 2010 | 134 | 2010 |

Multidimensional adaptive testing with optimal design criteria for item selection J Mulder, WJ Van der Linden Psychometrika 74, 273-296, 2009 | 128 | 2009 |

Editors’ introduction to the special issue “Bayes factors for testing hypotheses in psychological research: Practical relevance and new developments” J Mulder, EJ Wagenmakers Journal of Mathematical Psychology 72, 1-5, 2016 | 110 | 2016 |

BIEMS: A Fortran 90 program for calculating Bayes factors for inequality and equality constrained models J Mulder, H Hoijtink, C de Leeuw Journal of Statistical Software 46, 1-39, 2012 | 110 | 2012 |

Prior sensitivity analysis in default Bayesian structural equation modeling. S Van Erp, J Mulder, DL Oberski Psychological Methods 23 (2), 363, 2018 | 107 | 2018 |

The influence of gender stereotype threat on mathematics test scores of Dutch high school students: A registered report PC Flore, J Mulder, JM Wicherts Comprehensive Results in Social Psychology 3 (2), 140-174, 2018 | 104 | 2018 |

Bayesian model selection of informative hypotheses for repeated measurements J Mulder, I Klugkist, R Van De Schoot, WHJ Meeus, M Selfhout, H Hoijtink Journal of Mathematical Psychology 53 (6), 530-546, 2009 | 100 | 2009 |

Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses X Gu, J Mulder, H Hoijtink British Journal of Mathematical and Statistical Psychology 71 (2), 229-261, 2018 | 82 | 2018 |

Prior adjusted default Bayes factors for testing (in) equality constrained hypotheses J Mulder Computational Statistics & Data Analysis 71, 448-463, 2014 | 71 | 2014 |

BGGM: Bayesian Gaussian graphical models in R DR Williams, J Mulder Journal of Open Source Software 5 (51), 2111, 2020 | 61* | 2020 |

Multidimensional adaptive testing with Kullback–Leibler information item selection J Mulder, WJ Van der Linden Elements of adaptive testing, 77-101, 2009 | 58 | 2009 |

Bayesian hypothesis testing for Gaussian graphical models: Conditional independence and order constraints DR Williams, J Mulder Journal of Mathematical Psychology 99, 102441, 2020 | 56 | 2020 |

Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection. R van de Schoot, H Hoijtink, J Mulder, MAG Van Aken, ... Developmental psychology 47 (1), 203, 2011 | 56* | 2011 |

Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection. DR Williams, P Rast, LR Pericchi, J Mulder Psychological Methods 25 (5), 653, 2020 | 54 | 2020 |

Bayesian evaluation of inequality constrained hypotheses. X Gu, J Mulder, M Deković, H Hoijtink Psychological Methods 19 (4), 511, 2014 | 54 | 2014 |

The weight of representing the body: addressing the potentially indefinite number of body representations in healthy individuals MPM Kammers, J Mulder, F De Vignemont, HC Dijkerman Experimental brain research 204, 333-342, 2010 | 50 | 2010 |

Bayesian network models for local dependence among observable outcome variables RG Almond, J Mulder, LA Hemat, D Yan Journal of Educational and Behavioral Statistics 34 (4), 491-521, 2009 | 50 | 2009 |

bain: Bayes factors for Informative Hypotheses X Gu, HJA Hoijtink, J Mulder, CJ Van Lissa R package version 0.2. 0, 2019 | 45* | 2019 |