2 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions
Lourens Waldorp, Maarten Marsman, Gunter Maris
The Ising model was originally developed to model magnetisation of solids in statistical physics. As a network of binary variables with the probability of becoming 'active' dependi…
Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder
Jolanda J Kossakowski, Marijke C M Gordijn, Harriette Riese +1
Mental disorders like major depressive disorder can be seen as complex dynamical systems. In this study we investigate the dynamic behaviour of individuals to see whether or not we…
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…