Pages that link to "Item:Q689386"
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The following pages link to Minimax estimation in linear regression with singular covariance structure and convex polyhedral constraints (Q689386):
Displaying 14 items.
- Minimax prediction in the linear model with a relative squared error (Q434388) (← links)
- Minimax estimation for singular linear multivariate models with mixed uncertainty (Q860340) (← links)
- For what subsets of parameters is the least squares estimator minimax? (Q913391) (← links)
- Quasi-minimax estimation in the general linear regression model (Q1015850) (← links)
- Another view of the Kuks-Olman estimator (Q1582367) (← links)
- Linear regression analysis using the relative squared error (Q1855341) (← links)
- Relative squared error prediction in the generalized linear regression model (Q1871692) (← links)
- Linear plus quadratic (LPQ) quasiminimax estimation in the linear regression model (Q1914887) (← links)
- A comparison of minimax and least squares estimators in linear regression with polyhedral prior information (Q1914890) (← links)
- Minimax adjustment technique in a parameter restricted linear model (Q1914891) (← links)
- Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices (Q2091833) (← links)
- A minimax approach to missing values in linear regression (Q3136509) (← links)
- (Q3990834) (← links)
- Reducing the Maximum Risk of Regression Estimators by Polyhedral Projection (Q4869587) (← links)
