Textbook and Reading Materials

Recommended texts

Computational Statistics by Geof H. Givens and Jennifer A. Hoeting

Machine Learning: An Algorithmic Perspective

Weekly readings

Students will be assigned one or more papers to be read during the week prior to the lecture in which they will be discussed.

Additional references

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