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Minimax estimator
Improving on the James-Stein Estimator
Domination Over the Best Invariant Estimator Is, When Properly
DECISION THEORY APPLIED to an INSTRUMENTAL VARIABLES MODEL 1 Gary Chamberlain ABSTRACT This Paper Applies Some General Concepts
Minimax Theory
Lecture 16: October 4 Lecturer: Siva Balakrishnan
Improved Minimax Estimation of a Multivariate Normal Mean Under Heteroscedasticity” (DOI: 10.3150/13-BEJ580SUPP; .Pdf)
Stat 710: Mathematical Statistics Lecture 3
On the Bayesness, Minimaxity and Admissibility of Point Estimators of Allelic Frequencies Carlos Alberto Martínez , Khitij
Lecture Notes 8 1 Minimax Theory
Minimax Admissible Estimation of a Multivariate Normal Mean and Improvement Upon the James-Stein Estimator
Lecture 9 — October 20 9.1 Recap
Minimax Estimation of Discrete Distributions Under L1 Loss
Improving on the James-Stein Estimator
Unbiased Estimator for Deconvolving Human Blood Into Antibody Composition
7 Minimax Estimation
Minimax Estimation of Functionals of Discrete Distributions
Lecture 2: Statistical Decision Theory Lecturer: Jiantao Jiao Scribe: Andrew Hilger
10/36-702: Minimax Theory 1 Introduction 2 Definitions and Notation
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MTH 515A: Inference-II Assignment No. 4: Bayes and Minimax Estimation