Consistent estimator

Results: 182



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41Submitted to the Statistical Science  A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers

Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2012-06-03 10:52:44
42Lecture 39: The method of moments The method of moments is the oldest method of deriving point estimators. It almost always produces some asymptotically unbiased estimators, although they may not be the best estimators.

Lecture 39: The method of moments The method of moments is the oldest method of deriving point estimators. It almost always produces some asymptotically unbiased estimators, although they may not be the best estimators.

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Source URL: www.stat.wisc.edu

Language: English - Date: 2008-09-02 18:49:43
43C ONTRIBUTED RESEARCH ARTICLE  1 rdrobust: An R Package for Robust Nonparametric Inference in

C ONTRIBUTED RESEARCH ARTICLE 1 rdrobust: An R Package for Robust Nonparametric Inference in

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Source URL: journal.r-project.org

Language: English - Date: 2015-04-23 07:20:03
44IEEE SIGNAL PROCESSING LETTERS, VOL. 16, NO. 6, JUNEPREPRINT)  Fast multidimensional entropy estimation by k-d partitioning Dan Stowell, Mark D. Plumbley Abstract—We describe a non-parametric estimator for the

IEEE SIGNAL PROCESSING LETTERS, VOL. 16, NO. 6, JUNEPREPRINT) Fast multidimensional entropy estimation by k-d partitioning Dan Stowell, Mark D. Plumbley Abstract—We describe a non-parametric estimator for the

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Source URL: c4dm.eecs.qmul.ac.uk

Language: English - Date: 2009-05-13 08:48:24
45Chapter 1  Heuristics The official dogma on parametric estimation is: Good estimators converge to the right thing and have limiting normal distributions; moreover, the variance of the limiting distribution can’t be sma

Chapter 1 Heuristics The official dogma on parametric estimation is: Good estimators converge to the right thing and have limiting normal distributions; moreover, the variance of the limiting distribution can’t be sma

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Source URL: www.stat.yale.edu

Language: English - Date: 2010-09-07 00:00:23
46This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

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Source URL: eml.berkeley.edu

Language: English - Date: 2014-02-05 17:22:54
47Damjan Vukcevic Disease model distortion in genetic association studies Most findings from genome-wide association studies (GWAS) are consistent with a simple disease model at the genetic mutations (loci) under considera

Damjan Vukcevic Disease model distortion in genetic association studies Most findings from genome-wide association studies (GWAS) are consistent with a simple disease model at the genetic mutations (loci) under considera

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Source URL: www.statsoc.org.au

Language: English - Date: 2014-03-27 21:07:45
48Weighted likelihood estimation under two-phase sampling

Weighted likelihood estimation under two-phase sampling

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Source URL: www.stat.washington.edu

Language: English - Date: 2013-04-09 10:40:10
49Estimation of L�evy Processes in Mathematical Finance: A Comparative Study

Estimation of L�evy Processes in Mathematical Finance: A Comparative Study

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 18:55:07
50Introduction to Event History Analysis Ulrich Pötter Götz Rohwer  August 2007

Introduction to Event History Analysis Ulrich Pötter Götz Rohwer August 2007

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Source URL: www.stat.ruhr-uni-bochum.de

Language: English - Date: 2014-02-26 08:39:05