Online Program Home
My Program

Abstract Details

Activity Number: 374 - Statistics in Biosciences (SIB) Special Invited Session – Impacts of Statistics in Genomics and Imaging
Type: Invited
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: International Chinese Statistical Association
Abstract #300217 Presentation
Title: Functional Graphical Modeling and Applications in Brain Connectivity Analysis
Author(s): Lexin Li*
Companies: University of California at Berkeley

Multivariate functional data, where continuous observations are sampled from a vector of random functions, are emerging in a wide range of scientific applications. A central problem in multivariate functional data analysis is to investigate conditional dependence among the functions. This can be formulated as graphical modeling of multivariate functional data. Most existing graphical models assume the data are sampled from random variables that follow multivariate Gaussian or copula Gaussian distributions, and the relations among the functions on the nodes are linear. In this talk, we discuss some ongoing research projects that extend graphical modeling from random variables to random functions, and from Gaussian models to nonparametric models. We discuss some potential applications in brain connectivity analysis.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program