333 citations · 349 across the 20 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…
Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project
Alexandra Sarafoglou, Anna van der Heijden, Tim Draws +3
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data an…
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…
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…