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PSTAT127

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PSTAT 127 - Advanced Statistical Models

Statistics & Applied Probability College of Letters and Science

Full Course Title

Advanced Statistical Models

Instructor Name(s)

STAFF

Course Description

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.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

PSTAT 126 with a minimum grade of C or better.