Computational Statistics by Geof H. Givens and Jennifer A. Hoeting
Students will be assigned one or more papers to be read during the week prior to the lecture in which they will be discussed.
The following books are not required for the course, but are useful references that include some material in the course that is not covered by Givens and Hoeting
The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Handbook of Markov Chain Monte Carlo by Steve Brooks, Andrew Gelman, Galin Jones and Xiao-Li Meng
Python for Data Analysis by Wes McKinney