Syllabus
Lecture Notes
MATRIX CALCULUS
BASIC AXIOMS OF PROBABILITY
CONDITIONAL PROBABILITY
RANDOM VARIABLES
MULTIVARIATE DISTRIBUTIONS
ESTIMATION
MONTE CARLO METHODS
EXPECTATION MAXIMIZATION
VARIATIONAL BAYES
HIDDEN MARKOV MODELS
