Graphical Models

Schedule

  • Lecture: Recorded lectures will be uploaded on Wednesdays
  • Exercise: Thursdays, 16-18 (first meeting on Nov. 12)

Contents

Fundamentals of probabilistic graphical models, including

  • Basic background and concepts on graphs
  • Conditional independence
  • Markov properties
  • Probability density factorizations
  • Multivariate Gaussian models
  • Bayesian networks / directed acyclic graphs
  • Graphical models with hidden variables
  • Estimation and model selection

Literature

  • Edwards, D. (2000). Introduction to Graphical Modelling
  • Højsgaard, S., Edwards, D. & Lauritzen, S.L. (2012). Graphical Models with R
  • Lauritzen, S.L. (1996). Graphical Models
  • Wainwright, M.J. & Jordan, M.I. (2008). Graphical Models, Exponential Families and Variational Inference

Contact

Lecturer
Dr. Carlos Amendola Ceron
Office hours: on appointment
Phone: +49 (0)731/50-23533
E-Mail: carlos.amendola-ceron@uni-ulm.de

Notes

Moodle page