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