PSTAT 127 - Advanced Statistical Models

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

0 / 150 Enrolled

Advanced Statistical Models

Wendy Meiring 2.8

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15:30 PM - 16:45 PM

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