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Invariant estimator
Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon
Estimation of Common Location and Scale Parameters in Nonregular Cases Ahmad Razmpour Iowa State University
Nearly Weighted Risk Minimal Unbiased Estimation✩ ∗ Ulrich K
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
Michal Kolesár Cowles Foundation Yale University Version 1.4, September 30, 2013
Objective Priors in the Empirical Bayes Framework Arxiv:1612.00064V5 [Stat.ME] 11 May 2020
Invariant Models for Causal Transfer Learning
Mean Estimation and Regression Under Heavy-Tailed Distributions—A
On the Admissibility of Invariant Estimators of One Or More Location Parameters Author(S): Lawrence David Brown Source: the Annals of Mathematical Statistics, Vol
Minimax Estimation of the Mean Vector of a Spherically
Bayes and Invariante Estimation of Parameters Under a Bounded Asymmetric Loss Function
Invariant Estimation with Application to Linear
Rotational Invariant Estimator for General Noisy Matrices
4 Invariant Statistical Decision Problems
Computing the Oja Median in R: the Package Ojanp
Invariance/Equivariance
Admissibility in Discrete and Continuous Invariant Nonparametric Estimation Problems and in Their Multinomial Analogs
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Contents 1 Introduction
Efficiency Robustness of Estimators