7 citations · 9 across the 5 of their papers we have counts for
9 papers
Bayesian testing of linear versus nonlinear effects using Gaussian process priors
Joris Mulder
A Bayes factor is proposed for testing whether the effect of a key predictor variable on the dependent variable is linear or nonlinear, possibly while controlling for certain covar…
A Generalization of the Savage-Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses
J. Mulder, E. -J. Wagenmakers, M. Marsman
The Savage-Dickey density ratio is a specific expression of the Bayes factor when testing a precise (equality constrained) hypothesis against an unrestricted alternative. The expre…
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
Joris Mulder, Xin Gu, Anton Olsson-Collentine +10
There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields. This development is due to…
Default Bayesian Model Selection of Constrained Multivariate Normal Linear Models
J. Mulder, H. Hoijtink, X. Gu
The multivariate normal linear model is one of the most widely employed models for statistical inference in applied research. Special cases include (multivariate) t testing, (M)AN(…
Simple Bayesian testing of scientific expectations in linear regression models
Joris Mulder, Anton Olsson-Collentine
Scientific theories can often be formulated using equality and order constraints on the relative effects in a linear regression model. For example, it may be expected that the effe…
Bayes factor testing of equality and order constraints on measures of association in social research
Joris Mulder, John P. T. M. Gelissen
Measures of association play a central role in the social sciences to quantify the strength of a linear relationship between the variables of interest. In many applications researc…