STAT 5646: Functional Data Analysis
Credits: 3. Contact Hours: Lecture 3.
Prereq: STAT 5502 and STAT 5543
Theory and methods for analyzing functional data, which are data that take the forms of trajectories and images, possibly highly discretized and contaminated with noise. Topics include basic operations on functional data, necessary theoretical foundations, functional principal component analysis, kernel and spline smoothing, covariance modeling and estimation, dynamics modeling, concurrent regression models, functional linear models, inference for functional data, classification, and other optional topics. Offered even-numbered years.
(Typically Offered: Spring)