Data in diverse fields such as hydrology,geophysics and economics often display long range dependence. Efficient adaptive estimators for the model parameters of such processes will be developed. Bilinear time series models arise in economics, meteorology, oceanography, and seismology along with several other areas. Optimal inferential procedures for these important classes of models will also be developed. **

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
9102041
Program Officer
Sallie Keller-McNulty
Project Start
Project End
Budget Start
1991-09-01
Budget End
1994-08-28
Support Year
Fiscal Year
1991
Total Cost
$52,218
Indirect Cost
Name
Michigan State University
Department
Type
DUNS #
City
East Lansing
State
MI
Country
United States
Zip Code
48824