| Status | Title | eBook |
Course Reserve (Print) |
eRental | |
| TB |  |
D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques. MIT Press, 2009. | ProQuest | Yes | No |
| TB |  |
G. Casella, and R. L. Berger, Statistical Inference, 2nd ed. Cengage Learning, 2001. | No | Yes |
Yes - Access your own copy directly from the course page on Moodle. |
| REF |  |
C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. | Open Access | Yes | No |
| REF |  |
L. Wasserman, All of Nonparametric Statistics. Springer Science & Business Media, 2006. | Springer | Yes | No |
| REF |  |
T. Hastie, R. Tibshirani and, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. New York: Springer Series in Statistics, 2009. | Springer | Yes | No |