Extreme residuals in regression model. Minimax approach
We obtain limit theorems for extreme residuals in linear regression model in the case of minimax estimation of parameters.
Autors principals: | Aleksander Ivanov, Ivan Matsak, Sergiy Polotskiy |
---|---|
Format: | Article |
Idioma: | English |
Publicat: |
VTeX
2015-10-01
|
Col·lecció: | Modern Stochastics: Theory and Applications |
Matèries: | |
Accés en línia: | https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA40CNF |
Ítems similars
-
Minimax Estimation in Regression under Sample Conformity Constraints
per: Andrey Borisov
Publicat: (2021-05-01) -
Total Problem of Constructing Linear Regression Using Matrix Correction Methods with Minimax Criterion
per: Victor Gorelik, et al.
Publicat: (2023-01-01) -
Minimax prediction of sequences with periodically stationary increments
per: P.S. Kozak, et al.
Publicat: (2021-08-01) -
Minimaxity, Statistical Thinking and Differential Privacy
per: Larry Wasserman
Publicat: (2012-07-01) -
Improving on Minimum Risk Equivariant and Linear Minimax Estimators of Bounded Multivariate Location Parameters
per: Éric Marchand, et al.
Publicat: (2010-11-01)