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Statistical Learning and Prediction STAT 452 (3)

An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Haolun Shi
Tu 10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
D101 Tu 8:30 AM – 9:20 AM
REMOTE LEARNING, Burnaby
D102 Tu 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
D103 Tu 4:30 PM – 5:20 PM
REMOTE LEARNING, Burnaby
D104 Tu 5:30 PM – 6:20 PM
REMOTE LEARNING, Burnaby
D105 Tu 6:30 PM – 7:20 PM
REMOTE LEARNING, Burnaby