Graphical modelling and Bayesian structural learning
Statistics for Applications
Medical Decision Support
Algebraic statistics for random graph models: Markov bases and their uses
Principles of Digital Communication II
Statistical Methods
A Flexible Model for Count Data: The COM-Poisson Distribution
Mathematics of Machine Learning
Receivers, Antennas, and Signals
MAP inference in Discrete Models