Abstract Details
Activity Number:
|
560
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Isolated Statisticians
|
Abstract #312646
|
View Presentation
|
Title:
|
Generalized Functional Concurrent Model
|
Author(s):
|
Janet Kim*+ and Arnab Maity and Ana-Maria Staicu
|
Companies:
|
North Carolina State University and North Carolina State University and North Carolina State University
|
Keywords:
|
Functional data analysis ;
Generalized Functional Concurrent Model ;
Penalized B-splines ;
Tensor Product Smooth
|
Abstract:
|
We consider the generalized functional model, where both the response and the covariate are functional data and are observed on the same domain. In contrast to typical functional linear concurrent models, we allow the relationship between the response and covariate to be nonlinear, depending on both the value of the covariate at a specific time point as well as the time point itself. In this framework we develop methodology for estimation of the unknown relationship and construction of point-wise confidence bands, allowing for correlated error structure as well as sparse and/or irregular design. We investigate this approach in finite sample size through simulations and a real data application.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.
Copyright © American Statistical Association.