JSM Activity #281This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
|
The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2003 Program page |
Legend: = Applied Session,
= Theme Session,
= Presenter Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco |
||
281 | Tue, 8/5/03, 2:00 PM - 3:50 PM | H-Franciscan Room A |
Multiscale Methods in Statistics - Topic Contributed - Papers | ||
IMS | ||
Organizer(s): Xiaoming Huo, Georgia Institute of Technology | ||
Chair(s): Nicolas Hengartner, Los Alamos National Laboratory | ||
2:05 PM | Wavelet-based Data Reduction Procedures for Multiple Functional Data Curves — Uk Jung, Georgia Institute of Technology; Jye-Chyi Lu, Georgia Institute of Technology; Myong-kee Jeong, Georgia Institute of Technology | |
2:25 PM | Multiscale Geometric Analysis for 3-D Galaxy Catalogues — Ofer Levi, SCCM Stanford University; David Donoho, Stanford University | |
2:45 PM | Studying Digital Imagery of Ancient Paintings by Mixtures of Stochastic Models — Jia Li, Pennsylvania State University; James Wang, Pennsylvania State University | |
3:05 PM | Wavelet Decorrelation, Wavelet Packets, and the Brunelleschi Dome — Marina Vannucci, Texas A&M University | |
3:25 PM | Beamlets and Hierarchical Models for Directional Features — Xiaoming Huo, Georgia Institute of Technology | |
3:45 PM | Floor Discussion | |
JSM 2003
For information, contact meetings@amstat.org
or phone (703) 684-1221. If you have questions about the Continuing Education program,
please contact the Education Department. |