|
|
|
 |
 National Science
Foundation Award #0072840 |
 |
|
|
Statistical Inference and Modeling for Complex Data |
| |
| Investigator(s): |
Jiayang Sun (PI)
|
| Sponsor: |
Case Western Reserve University, OH 44106 2163684510
|
| Start Date/Expiration Date |
2000-08-15 to 2004-01-31 (amended 2000-08-04) |
| Awarded Amount to Date: |
$100,000 |
| Abstract: This project focuses on three research areas related to complex data.
The first research area is on high dimensional graphics, data analysis
and related topics. The second research area is on mixture models and
bump hunting problems. The third area is on models and inferential
procedures for data with biases. Several variants of likelihood,
semi-parametric and iterative procedures are sought for modeling and
making inferences about the data.
We live in the information age. Information often hides in data sets
with different appearances. Mining and modeling (massive) data sets
include the discovery of patterns, subcomponents, bumps, or special
events, and development of models that explain the data and predict
the future. This research is aimed at providing solutions to some
interesting problems arising from the data which are either high
dimension, or complicated, or with a sampling bias. Theories,
methods, and efficient computing algorithms are explored for
extracting useful information from the complex data. Application
areas include astronomy, neurosciences, quality control, and some
(other) observational studies. |
|
| NSF Org: |
DMS - Division of Mathematical Sciences |
| Award Number: |
0072840 |
| Award Instrument: |
Standard Grant |
| Program Manager: |
Xuming He
DMS Division of Mathematical Sciences
MPS Directorate for Mathematical & Physical Sciences
|
| NSF Program(s): |
STATISTICS |
| Field Application(s): |
Other nsf.applications NEC |
| Program Reference Code(s): |
UNASSIGNED, 0000 |
| Program Element Code(s): |
1269 |
|
|
| |
 |
|
|
|
|
|
|
|
