Marloes Maathuis is Professor of Statistics at ETH Zurich.

Mathias Drton is Professor of Statistics at the University of Copenhagen and the University of Washington.

Steffen Lauritzen is Professor of Statistics at the University of Copenhagen.

Martin Wainwright is Chancellor's Professor at the University of Berkeley.

Part I: Conditional independencies and Markov properties.
1. Conditional Independence and Basic Markov Properties - Milan Studený
2. Markov Properties for Mixed Graphical Models - Robin Evans
3. Algebraic Aspects of Conditional Independence and Graphical Models - Thomas Kahle, Johannes Rauh, and Seth Sullivant
Part II: Computing with factorizing distributions
4. Algorithms and Data Structures for Exact Computation of Marginals - Jeffrey A. Bilmes
5. Approximate Methods for Calculating Marginals and Likelihoods - Nicholas Ruozzi
6. MAP Estimation: Linear Programming Relaxation and Message-Passing Algorithms - Ofer Meshi and Alexander G. Schwing
7. Sequential Monte Carlo Methods - Arnaud Doucet and Anthony Lee
Part III: Statistical inference
8. Discrete Graphical Models and their Parametrization - Luca La Rocca and Alberto Roverato
9. Gaussian Graphical Models - Caroline Uhler
10. Bayesian Inference in Graphical Gaussian Models - Hélène Massam
11. Latent Tree Models - Piotr Zwiernik
12.Neighborhood Selection Methods - Po-Ling Loh
12. Nonparametric Graphical Models - Han Liu and John Lafferty
14. Inference in High-Dimensional Graphical Models - Jana Janková and Sara van de Geer
Part IV: Causal inference
15. Causal Concepts and Graphical Models - Vanessa Didelez
16. Identication In Graphical Causal Models - Ilya Shpitser
17. Mediation Analysis - Johan Steen and Stijn Vansteelandt
18. Search for Causal Models - Peter Spirtes and Kun Zhang
Part V: Applications
19. Graphical Models for Forensic Analysis - A. Philip Dawid and Julia Mortera
20. Graphical Models in Molecular Systems Biology - Sach Mukherjee and Chris Oates
21. Graphical Models in Genetics, Genomics, and Metagenomics - Hongzhe Li and Jing Ma