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Old and new aspects of minimax estimation of a bounded parameter
Project Euclid | 2003|Keywords: 62C20 -
Shrinkage minimax estimation and positive-part rule for a mean matrix in an elliptically contoured distribution
Elsevier | 2009|Keywords: 62C20 -
Nonasymptotic rates for manifold, tangent space and curvature estimation
Project Euclid | 2019|Keywords: 62C20 -
On minimax estimation of a normal mean vector for general quadratic loss
Project Euclid | 2003|Keywords: 62C20 -
On the Stein phenomenon under divergence loss and an unknown variance–covariance matrix
Elsevier | 2008|Keywords: 62C20 -
Evaluating the chosen population: a Bayes and minimax approach
Project Euclid | 1986|Keywords: 62C20 -
Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one
Project Euclid | 2015|Keywords: 62C20 -
Minimax estimation of common variance in normal distributions when the mean vector is known to lie in an ellipsoid
Project Euclid | 1999|Keywords: 62C20 -
Consistency of cross validation for comparing regression procedures
Project Euclid | 2007|Keywords: 62C20 -
A class of parameter functions for which the unbiased estimator does not exist
Project Euclid | 2003|Keywords: 62C20 -
Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension
Elsevier | 2013|Keywords: 62C20 -
Non Asymptotic Minimax Estimation of Functionals with Noisy Observations
Taylor & Francis Verlag | 2012|Keywords: 62C20 -
“Local” vs. “global” parameters—breaking the Gaussian complexity barrier
Project Euclid | 2017|Keywords: 62C20 -
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Project Euclid | 2019|Keywords: 62C20
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