JSM 2011 Online Program

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

Abstract Details

Activity Number: 285
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #300592
Title: Multiscale Adaptive Spatial-Temporal Models for Functional Image Data
Author(s): Hongtu Zhu*+ and Jianqing Fan and Weili Lin and Japing Wang
Companies: The University of North Carolina and Princeton University and ENAR/IMS/ASA and ENAR/IMS/ASA
Address: Department of Biostatistics, Chapel Hill, NC, 27599, USA
Keywords: multiscale adaptive ; spatial-temporal ; functional imaging ; wavelet thresholding

We develop a multiscale adaptive spatial-temporal model (MASTM) for functional imaging data with complex spatial patterns on a two-dimensional (2D) slice or in a 3D volume. Most statistical methods, including wavelet thresholding, focus on independently estimating functional activity at each spatial location (voxel). MASTM, however, is to specifically count for the complex spatial patterns in functional images and build a comprehensive statistical model in order to simultaneously estimate all unknown functions across all voxels. MASTM has four features: being spatial, being connected, being hierarchical, and being adaptive. MASTM analyzes all observations in the ellipsoid of each voxel and its homogeneous groups. These consecutively connected ellipsoids across all voxels can capture spatial dependence among imaging observations, while these homogeneous groups allow for the combination of spatially disconnected clusters. Our simulation studies and real data analysis confirm that MASTM significantly outperforms the existing methods. This is joint work with Japing Wang, Weili Lin, and Jianqing Fan.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2011 program

2011 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.