Statistics & Applied Probability - PSTAT

Exponential family and generalized linear models including logistic and Poisson regression, nonparametric regression, including kernel, spline and local polynomials, and generalized additive models. Other topics as time allows: regularization, neural networks, and support vector machines. Emphasis will be on concepts and practical applications.

Prerequisites: PSTAT 126 with a minimum grade of C or better.


PSTAT 127
69 / 100 Enrolled
Advanced Statistical Models
Wendy Meiring 2.8
M W
14:00 PM - 15:15 PM
36.2% A