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M-estimators
Results: 330

#	Item
221	Camera Motion Estimation Using a Parametric Model in Video Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2005-11-03 10:14:07 Video processing M-estimators Robust statistics Motion estimation Tilt Parameter Least squares Statistics Estimation theory Cinematography
222	Supplementary material: One-shot learning by inverting a compositional causal process SI-1 Generating images of characters Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:15:24 M-estimators Econometrics Measurement Maximum likelihood Generalized method of moments Dimensional analysis Estimation theory Statistics Statistical theory
223	Volume 1, Issue #2, Winter 2001 University of Manitoba Outreach Project Published by the Department of Mathematics CHOOSING A CAREER IN MATHEMATICS J.J. Williams Add to Reading List Source URL: net185.math.umanitoba.ca Language: English - Date: 2001-08-07 10:41:58 Abstract algebra Analytic functions Exponentiation Exponential function Estimation theory M-estimators Polar coordinate system Maximum likelihood Exponentials Mathematical analysis Mathematics
224	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
225	Generalized Monotonic Regression The R code is used to perform analysis for semiparametric Poisson regression with monotonicity constraints log (X,Z,C)  logC  X T   (Z) The code can be extended to gene Add to Reading List Source URL: chs.unr.edu Language: English - Date: 2014-08-06 19:26:55 Estimation theory M-estimators Interpolation Poisson regression Isotonic regression Maximum likelihood Akaike information criterion B-spline Statistics Regression analysis Econometrics
226	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
227	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
228	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
229	Journal of Machine Learning Research[removed]1859 Submitted 5/06; Revised 8/06; Published 9/06 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-09-13 18:29:49 M-estimators Maximum likelihood Exponential family Cumulant Sufficient statistic Expectation–maximization algorithm Statistics Estimation theory Statistical theory
230	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 20:16:50 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Matrix norm Statistics Estimation theory Statistical theory

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