STAT 437: High Dimensional Data Learning and Visualization (Spring 2021)
Textbook: Introduction to Statistical Learning, James, G., Witten, D., Hastie, T. and Tibshirani, R. SpringerReference Text: Elements of Statistical Learning, Hastie, T., Tibshirani, R. and Friedman, J. SpringerSTAT 536: Statistical computing (Fall 2017, Fall 2019, Fall 2020)
Textbook: Monte Carlo Statistical Methods. Robert, C.P. and Casella, G., Springer.Class Materials: Notes, Lab (R code)STAT 530: Applied linear models (Spring 2019)
Textbook: Applied Linear Statistical Models, Kutner, M. H., Nachtsheim, C. J., Neter, J. and Li, W. McGraw HillReference Text: Elements of Statistical Learning, Hastie, T., Tibshirani, R. and Friedman, J. SpringerClass Materials: Notes, Lab (R code)STAT 419: Intoduction to multivariate statistics (Spring 2018, Spring 2019, Fall 2019, Fall 2020)
Textbook: Applied Multivariate Statistical Analysis, Johnson, R. A. and Wicher, D. W. PearsonClass Materials: Notes, Lab (R code)STAT 435: Introduction to data analytics (Fall 2018)
Textbook: Introduction to Statistical Learning, James, G., Witten, D., Hastie, T. and Tibshirani, R. SpringerReference Text: Elements of Statistical Learning, Hastie, T., Tibshirani, R. and Friedman, J. Springer