activity
20162019
most citedNetwork Psychometrics

195 citations · 288 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2019

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…

stat.CO2018★ 2 cited

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…

math.ST2018

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…

stat.ME2018★ 4 cited

Learning meets Assessment: On the relation between Item Response Theory and Bayesian Knowledge Tracing

Benjamin Deonovic, Michael Yudelson, Maria Bolsinova +2

Few models have been more ubiquitous in their respective fields than Bayesian knowledge tracing and item response theory. Both of these models were developed to analyze data on lea…

stat.ME2016★ 195 cited

Network Psychometrics

Sacha Epskamp, Gunter K. J. Maris, Lourens J. Waldorp +1

This chapter provides a general introduction of network modeling in psychometrics. The chapter starts with an introduction to the statistical model formulation of pairwise Markov r…

stat.ME2016★ 87 cited

Three representations of the Ising model

Joost Kruis, Gunter Maris

Statistical models that analyse (pairwise) relations between variables encompass assumptions about the underlying mechanism that generated the associations in the observed data. In…