most citedA Tutorial on Regularized Partial Correlation Networks

2.9k citations · 6.5k across the 8 of their papers we have counts for

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9 papers

stat.ME2018

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…

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…

stat.AP2016★ 2.9k cited

A Tutorial on Regularized Partial Correlation Networks

Sacha Epskamp, Eiko I. Fried

Recent years have seen an emergence of network modeling applied to moods, attitudes, and problems in the realm of psychology. In this framework, psychological variables are underst…

stat.ME2016★ 37 cited

Brief Report on Estimating Regularized Gaussian Networks from Continuous and Ordinal Data

Sacha Epskamp

In recent literature, the Gaussian Graphical model (GGM; Lauritzen, 1996),a network of partial correlation coefficients, has been used to capture potential dynamic relationships be…

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★ 1.1k cited

Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research

Hudson F. Golino, Sacha Epskamp

The estimation of the correct number of dimensions is a long-standing problem in psychometrics. Several methods have been proposed, such as parallel analysis (PA), Kaiser-Guttman's…

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…

q-bio.NC2016★ 333 cited

Estimating psychopathological networks: be careful what you wish for

Sacha Epskamp, Joost Kruis, Maarten Marsman

Network models, in which psychopathological disorders are conceptualized as a complex interplay of psychological and biological components, have become increasingly popular in the…