Date:
Location:
MDS 220
Speaker(s) / Presenter(s):
Dr. Yi Lu - Drew University
Abstract: In this talk, I will present a Bayesian framework for registration of real-valued functional data. I will introduce function registration and its statistical setup, as well as a series of transformations, developed under a differential geometric framework, that simply the data and functional parameters. Approximate draws from the posterior distribution are obtained using a novel Markov chain Monte Carlo (MCMC) algorithm which is well suited for estimation of functions. Both simulated and real datasets will be presented to illustrate the proposed approach.
Event Series: