Nonparametric and Semiparametric Data Modeling

GRS MA 750

Introduces theory and methods of non- and semiparametric data analysis. Topics include scatterplot smoothers, bias/variance trade-off, selection of smoothing parameter, generalized additive model, smoothing spline, and Bayesian nonparametric models. Applications in various fields are discussed.

FALL 2015 Schedule

Section Instructor Location Schedule Notes
A1 Gangopadhyay MCS B19 T 2:00 pm-3:30 pm
A1 Gangopadhyay MCS B23 R 2:00 pm-3:30 pm

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.