Parameter Estimation II

4 credits

The Bayesian statistical framework; Parameter and state estimation of Hidden Markov Models, including Kalman Filtering and the Viterbi and Baum-Welsh algorithms. A solid foundation is provided for follow-up courses in Bayesian machine learning theory. Recommended preparation: ECE 153. Prerequisites: graduate standing.