M-estimator - PDFSEARCH.IO - Document Search Engine

M-estimator
Results: 410

#	Item
251	BIWEIGHT Statistics LET Subcommands BIWEIGHT PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:08 Statistical theory Econometrics Estimation theory Linear regression Robust regression Errors and residuals in statistics M-estimator Least squares Median Statistics Regression analysis Robust statistics
252	Imbens/Wooldridge, Lecture Notes 14, Summer ’07 What’s New in Econometrics? NBER, Summer 2007 Lecture 14, Wednesday, August 1st, 3:15-4:15 pm Quantile Methods Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-27 10:50:30 Econometrics Least squares Data analysis Quantile regression Normal distribution Heteroscedasticity-consistent standard errors Quantile Ordinary least squares M-estimator Statistics Regression analysis Estimation theory
253	Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri University of California, San Diego, La Jolla, CA[removed]removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Statistical theory M-estimators Statistical inference Differential privacy Distribution Normal distribution Exponential mechanism Estimator Robust statistics Statistics Estimation theory Data privacy
254	Global Hydro-Estimator – Algorithm Description The Hydro-Estimator (H-E) is a single-channel (11-µm) rain rate algorithm whose origins go all the way back to the semi-automated Interactive Flash Flood Analyzer (IFFA; Add to Reading List Source URL: www.ospo.noaa.gov Language: English - Date: 2012-07-31 16:01:07 Atmospheric thermodynamics Precipitation Mesoscale meteorology Rain Mesoscale convective system Cloud Precipitable water Atmospheric sciences Meteorology Weather
255	Minimum Risk Annealing for Training Log-Linear Models∗ David A. Smith and Jason Eisner Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD 21218, USA Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2006-06-12 12:15:34 Bayesian statistics Econometrics M-estimators Maximum likelihood Bayes estimator Expectation–maximization algorithm Loss function Likelihood function Supervised learning Statistics Estimation theory Statistical theory
256	Fast global convergence of gradient methods for high-dimensional statistical recovery Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-02-05 16:46:27 Econometrics M-estimators Statistical inference Maximum likelihood Poisson regression Loss function Consistent estimator Dimensional analysis Estimator Statistics Estimation theory Statistical theory
257	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory
258	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-12-21 20:22:51 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Consistent estimator Statistics Estimation theory Statistical theory
259	Definitions of ψ-Functions Available in Robustbase Manuel Koller and Martin M¨achler April 30, 2014 Contents 1 Monotone ψ-Functions Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-18 13:54:18 M-estimators Robust statistics Estimation theory Robust regression Smooth functions Distribution Function Redescending M-estimator Langlands–Deligne local constant Statistics Mathematics Mathematical analysis
260	Journal of Machine Learning Research[removed]1697 Submitted 9/10; Revised 12/11; Published 5/12 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-06-05 00:45:55 Estimation theory Matrix theory Matrix Singular value decomposition Estimator Trace Linear regression Rank M-estimator Algebra Mathematics Linear algebra

UPDATE