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M-estimator
Results: 410

#	Item
381	MLESAC: A new robust estimator with application to estimating image geometry Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2001-12-16 12:39:25 Statistical theory M-estimators Statistical inference RANSAC Fundamental matrix Maximum likelihood Estimator Epipolar geometry Least squares Statistics Estimation theory Robust statistics
382	OPERATIONS RESEARCH Vol. 61, No. 4, July–August 2013, pp. 1030–1045 ISSN 0030-364X (print) ISSN[removed]online) Add to Reading List Source URL: www.columbia.edu Language: English - Date: 2013-08-31 17:50:08 Econometrics Measurement Poisson process Confidence interval M-estimator Differential geometry of curves Exponential distribution Euler–Lagrange equation Statistics Stochastic processes Estimation theory
383	Estimation in the Regression Discontinuity Model∗ Jack Porter Harvard University Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2003-08-27 21:39:46 Econometrics Statistical inference Non-parametric statistics Kernel regression Estimator M-estimator Linear regression Polynomial regression Statistics Estimation theory Regression analysis
384	Quantitative Data Cleaning for Large Databases Joseph M. Hellerstein∗ EECS Computer Science Division Add to Reading List Source URL: db.cs.berkeley.edu Language: English - Date: 2008-03-13 17:19:07 Statistical theory Summary statistics Regression analysis Outlier Data cleansing Median Estimator Exploratory data analysis Descriptive statistics Statistics Robust statistics Data analysis
385	Double Q-learning Hado van Hasselt Add to Reading List Source URL: books.nips.cc Language: English - Date: 2010-12-04 14:19:25 Statistical inference M-estimators Estimator Bias of an estimator Q-learning SARSA Reinforcement learning Markov decision process Efficiency Statistics Estimation theory Statistical theory
386	Parameter estimation from magnitude MR images J. Sijbers, A. J. den Dekker, E. Raman, and D. Van Dyck Add to Reading List Source URL: www.visielab.ua.ac.be Language: English - Date: 2011-12-03 07:35:50 Statistical inference M-estimators Summary statistics Maximum likelihood Bias of an estimator Rice distribution Mean squared error Estimator Normal distribution Statistics Estimation theory Statistical theory
387	has the form ±(n − d)αi1 αi2 . . . αid , where 1 ≤ i 1 < i 2 < · · · < i d ≤ n. Indeed, each positive monomial αi1 αi2 . . . αid in Add to Reading List Source URL: www.math.umn.edu Language: English - Date: 2005-03-24 19:36:51 M-estimators Bias Bias of an estimator Maximum likelihood Polar coordinate system Law of large numbers Statistics Statistical theory Estimation theory
388	Statistical Analysis of Sketch Estimators∗ Florin Rusu Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2007-09-06 12:02:51 Statistical inference M-estimators Robust statistics Minimum-variance unbiased estimator Estimator Bias of an estimator Mean squared error Variance Normal distribution Statistics Estimation theory Statistical theory
389	NAV07-The Navigation Conference and Exhibition, [removed], London, England classic methods are very sensitive to these kinds of errors, Add to Reading List Source URL: math.tut.fi Language: English - Date: 2009-05-20 01:31:30 M-estimator Robust statistics Linear regression Maximum likelihood Normal distribution Filtering problem Regression analysis Bayes estimator Estimator Statistics Estimation theory Kalman filter
390	Reference Analysis Jos´e M. Bernardo 1 Departamento de Estad´ıstica e I.0., Universitat de Val`encia, Spain Add to Reading List Source URL: www.uv.es Language: English - Date: 2005-12-16 05:09:00 Bayesian statistics Statistical inference Parametric model Loss function Fisher information Inverse probability Likelihood function Prior probability Bayes estimator Statistics Statistical theory Estimation theory

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