Minimax Adaptive Generalized Ridge Regression Estimators

摘要: Abstract We consider the problem of estimating vector regression coefficients a linear model using generalized ridge estimators where constant is chosen on basis data. For general quadratic loss we produce such whose risk function dominates that least squares procedure provided number regressors at three. study by usual reduction to mean multivariate normal distribution. Our results minimax estimation in this context are independent interest.