JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 474
Type: Topic Contributed
Date/Time: Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #308887
Title: Functional Interaction Model
Author(s): Ana-Maria Staicu*+ and Joseph Usset and Arnab Maity
Companies: North Carolina State University and North Carolina State University and North Carolina State University
Keywords: Functional Linear Model ; Diffusion Tensor Imaging ; Functional Data Analysis

Functional regression with functional predictors is now a well-studied area in functional data analysis. Existing methods, however, are limited to an additive assumption of the covariates effect, and ignore interactions between the functional covariates. We introduce a functional interaction modeling and testing framework where the response depends on the functional covariates and, in addition, on the interaction between them. The methods rely on bases function expansions of both the functional covariates and the coefficient functions, and on the mixed effects representation of the penalized regression. Methodological developments are general, but were inspired by and applied to a Diffusion Tensor Imaging (DTI) brain tractography dataset

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

Back to the full JSM 2013 program

2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.