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20162026
most citedThe Gaussian Graphical Model in Cross-sectional and Time-series Data

1.2k citations · 2.8k across the 11 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

stat.ME2016★ 1.2k cited

The Gaussian Graphical Model in Cross-sectional and Time-series Data

Sacha Epskamp, Lourens J. Waldorp, René Mõttus +1

We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows…

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…

physics.med-ph2016★ 589 cited

Major depression as a complex dynamic system

Angélique O. J. Cramer, Claudia D. van Borkulo, Erik J. Giltay +4

In this paper, we characterize major depression (MD) as a complex dynamical system in which symptoms (e.g., insomnia and fatigue) are directly connected to one another in a network…

math.ST2016★ 475 cited

Generalized Network Psychometrics: Combining Network and Latent Variable Models

Sacha Epskamp, Mijke Rhemtulla, Denny Borsboom

We introduce the network model as a formal psychometric model, conceptualizing the covariance between psychometric indicators as resulting from pairwise interactions between observ…

stat.AP2016★ 196 cited

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

Sacha Epskamp, Denny Borsboom, Eiko I. Fried

The usage of psychological networks that conceptualize psychological behavior as a complex interplay of psychological and other components has gained increasing popularity in vario…