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The following pages link to Approximate minimax estimation in linear regression: theoretical results (Q3768206):

Displaying 22 items.

Minimax estimation in linear regression with singular covariance structure and convex polyhedral constraints (Q689386) (← links)
Approximate minimax estimators in the simultaneous equations model (Q689388) (← links)
On approximating the minimum risk estimator in linear regression models (Q902632) (← links)
Full and partial minimax estimation in regression analysis with additional linear constraints (Q1107934) (← links)
Approximate maximum likelihood estimation in linear regression (Q1260703) (← links)
Pseudo-minimax linear and mixed regression estimation of regression coefficients when prior estimates are available. (Q1423209) (← links)
A minimax approach to errors-in-variables linear models (Q1631206) (← links)
Spectral methods in linear minimax estimation (Q1914881) (← links)
Minimax estimation in linear regression model (Q1918147) (← links)
Augmented minimax linear estimation (Q2073703) (← links)
RAP-method (random perturbation method) for finding \(S\)-minimax control vectors and parameter estimates for some linear systems with random coefficients (Q2283941) (← links)
RAP-method (random perturbation method) for minimax \(G\)-filter (Q2660770) (← links)
A minimax approach to missing values in linear regression (Q3136509) (← links)
On the asymptotic accuracy of pseudo-linear regression algorithms (Q3325594) (← links)
Approximate minimax estimation in linear regression: a simulation study (Q3471499) (← links)
Approximate linear minimax estimation in regression analysis with ellipsoidal constraints (Q3474056) (← links)
(Q3484196) (← links)
(Q3704756) (← links)
(Q3990834) (← links)
Lp approximation of variational problems in L1 and L∞ (Q4239805) (← links)
Linear and ellipsoidal restrictions in linear regression (Q4322945) (← links)
On a class of algorithms from experimental design theory (Q4327907) (← links)