Spectral methods in linear minimax estimation
β Scribed by Hilmar Drygas
- Publisher
- Springer Netherlands
- Year
- 1996
- Tongue
- English
- Weight
- 955 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0167-8019
No coin nor oath required. For personal study only.
β¦ Synopsis
We consider the minimax-linear estimator in a linear regression model with circular constraints. Two necessary and sufficient conditions for the optimality of an estimator, the socalled left spectral equation and the right spectral equation (Girko spectral equation), are derived. For the special case of a simple maximal eigenvalue and a single eigenspace explicit estimation formulas are derived. These formulas also show some of the shortcomings of the minimax-linear estimator (MILE). Finally, the relation with Bayesian analysis and the Hoffmann-Liuter estimator is outlined.
π SIMILAR VOLUMES
We consider the simultaneous linear minimax estimation problem in linear models with ellipsoidal constraints imposed on an unknown parameter. Using convex analysis, we derive necessary and sufficient optimality conditions for a matrix to define the linear minimax estimator. For certain regions of th