1 citations · 1 across the 3 of their papers we have counts for
7 papers
Relations between networks, regression, partial correlation, and latent variable model
Lourens Waldorp, Maarten Marsman
The Gaussian graphical model (GGM) has become a popular tool for analyzing networks of psychological variables. In a recent paper in this journal, Forbes, Wright, Markon, and Krueg…
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…
Intervention in undirected Ising graphs and the partition function
Lourens Waldorp, Maarten Marsman
Undirected graphical models have many applications in such areas as machine learning, image processing, and, recently, psychology. Psychopathology in particular has received a lot…
The physics of (ir)rational choice
Joost Kruis, Gunter Maris, Maarten Marsman +3
Even though classic theories and models of discrete choice pose man as a rational being, it has been shown extensively that people persistently violate rationality in their actual…
Interpreting the Ising Model: The Input Matters
Jonas Haslbeck, Sacha Epskamp, Maarten Marsman +1
The Ising model is a model for pairwise interactions between binary variables that has become popular in the psychological sciences. It has been first introduced as a theoretical m…
An Asymptotically Efficient Metropolis-Hastings Sampler for Bayesian Inference in Large-Scale Educational Measuremen
Timo Bechger, Gunter Maris, Maarten Marsman
This paper discusses a Metropolis-Hastings algorithm developed by \citeA{MarsmanIsing}. The algorithm is derived from first principles, and it is proven that the algorithm becomes…