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Hájek–Le Cam convolution theorem
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11	Statistics Lecture 2 August 7, 2000 Frank Porter Caltech The plan for these lectures: Add to Reading List Source URL: www-group.slac.stanford.edu Language: English - Date: 2007-03-17 12:42:37 Statistical inference Maximum likelihood Fisher information Bias of an estimator Score Likelihood function Estimator Hájek–Le Cam convolution theorem Efficient estimator Estimation theory Statistics Statistical theory
12	“What’s New in Econometrics” Lecture 15 Generalized Method of Moments and Empirical Likelihood Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-30 09:59:37 Maximum likelihood M-estimator Estimator Dimensional analysis Extremum estimator Hájek–Le Cam convolution theorem Estimation theory Statistics Generalized method of moments
13	Submitted to the Statistical Science Supplementary material for a unified framework for high-dimensional analysis of M -estimators with Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:16:50 Generalized method of moments Estimation theory Statistical theory Hájek–Le Cam convolution theorem
14	Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi† Michael I. Jordan∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-08-20 20:23:29 M-estimators Maximum likelihood Hájek–Le Cam convolution theorem Estimation theory Statistics Statistical theory
15	The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur Mathematik Add to Reading List Source URL: homepage.rub.de Language: English - Date: 2004-07-22 07:34:56 Decision theory Bayes estimator Loss function Minimax estimator Bias of an estimator Kullback–Leibler divergence Minimax Estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
16	Studies in Nonlinear Dynamics & Econometrics A Maximum Score Test for Binary Response Models Journal: Add to Reading List Source URL: economics.olemiss.edu Language: English - Date: 2013-04-04 14:43:13 Parametric statistics Econometrics M-estimators Maximum likelihood Linear regression Parametric model T-statistic Extremum estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
17	On the Capacity of Precision-Resolution Constrained Systems Moshe Schwartz California Institute of Technology 1200 E California Blvd., Mail Code[removed] Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2006-01-26 17:39:13 Simple extension Statistical theory Statistical inference Hájek–Le Cam convolution theorem Maximum likelihood Estimation theory Symbol Statistics
18	1 Increasing the Information Density of Storage Systems Using the Precision-Resolution Paradigm Moshe Schwartz, Member, IEEE, and Jehoshua Bruck, Fellow, IEEE time between two peaks, and dividing it by the duration of a Add to Reading List Source URL: www.paradise.caltech.edu Language: English - Date: 2007-02-13 18:30:54 Hájek–Le Cam convolution theorem Logic Symbol Entailment
19	PDF Document Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2008-12-10 22:19:44 Fisher information Parametric model Gamma distribution Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
20	Efficient distribution estimation for data with unobserved sub-population identifiers Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2012-05-04 11:41:09 M-estimator Efficient estimator Maximum likelihood Consistent estimator Least squares Linear regression Redescending M-estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Estimator