1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Moderated Network Models
Jonas Haslbeck, Denny Borsboom, Lourens Waldorp
Pairwise network models such as the Gaussian Graphical Model (GGM) are a powerful and intuitive way to analyze dependencies in multivariate data. A key assumption of the GGM is tha…