AMS263, Fall 2014, Section 01: Homework and handouts

  • Notes on general concepts and definitions for stochastic processes 
  • Notes on spectral representations and ergodic theorems for stationary stochastic processes
  • Notes on Bayesian inference for Gaussian process nonparametric regression
  • Notes on the key definitions and results for classification of Markov chains