Book recommendations

Please note there there is no required textbook for this course. The following list has some recommendations in case you are eager to learn more, or would like to see the material presented in a different way:

• Machine Learning: a Probabilistic Perspective by Kevin Patrick Murphy

• Bayesian Data Analysis by Andrew Gelman et al.

• Monte Carlo Streategies in Scientific Computing by Jun S. Liu (available as download via Harvard Library)

• Monte Carlo Statistical Methods by Christian P. Robert and George Casella (available as download via Harvard Library)

Materials from last year

• Please see the folder on github.