The principal investigator will continue his work in the general area of empirical processes, paying particular attention to the development of asymptotic techniques that can be applied to non-standard problems in Statistics and Econometrics. Specific applications will include: the theory of least absolute deviations estimators in time series models; discrete choice models; and the extension of empirical process results for independent variables to cover various types of dependent variables.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
9001088
Program Officer
Peter Arzberger
Project Start
Project End
Budget Start
1990-07-01
Budget End
1991-12-31
Support Year
Fiscal Year
1990
Total Cost
$40,180
Indirect Cost
Name
Yale University
Department
Type
DUNS #
City
New Haven
State
CT
Country
United States
Zip Code
06520