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M-estimators
Results: 330

#	Item
161	Log-Linear Models Noah A. Smith∗ Department of Computer Science / Center for Language and Speech Processing Johns Hopkins University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-11-30 01:37:48 Estimation theory Bayesian statistics M-estimators Maximum likelihood Mutual information Principle of maximum entropy Conditional entropy Entropy Kullback–Leibler divergence Statistics Information theory Statistical theory
162	Universal Estimation of Divergence for Continuous Distributions via Data-Dependent Partitions Qing Wang, Sanjeev R. Kulkarni, Sergio Verd´u Department of Electrical Engineering Princeton University Princeton, NJ[removed]U Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2005-12-05 13:40:41 M-estimators Kullback–Leibler divergence Thermodynamics Information theory Importance sampling Jensen–Shannon divergence Statistics Estimation theory Statistical theory
163	Index Cp , see Mallows’ F -test, 5, 33, 34, 40, 59–62, 83, 84, 88, 94, 106–109 RCp , see Mallows’ χ 2 -distribution, see distribution Add to Reading List Source URL: media.wiley.com Language: English - Date: 2009-04-16 17:31:36 Statistical inference Regression analysis M-estimators Estimator Least squares Maximum likelihood Gauss–Markov theorem Generalized linear model Bootstrapping Statistics Estimation theory Statistical theory
164	Progress In Electromagnetics Research Symposium 2006, Cambridge, USA, March[removed]Detection of Small Tumors in Microwave Medical Imaging Using Level Sets and Music Add to Reading List Source URL: www.maths.manchester.ac.uk Language: English - Date: 2009-05-28 12:41:32 Quantum mechanics M-estimators Robust statistics Linear temporal logic Mathematics Functions and mappings Function
165	Enhanced Convergence Results for Stochastic Tree Estimators R. Mark Reesor Applied Mathematics and Statistical and Actuarial Sciences University of Western Ontario Joint work with Tyson Whitehead, SHARCNET Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-20 11:40:12 Statistical inference Estimator Bias of an estimator M-estimators Estimation theory Statistics Statistical theory
166	Cutting edge l Credit risk Add to Reading List Source URL: www.thierry-roncalli.com Language: English - Date: 2008-08-22 10:37:05 Statistical inference M-estimators Data analysis Maximum likelihood Estimator Normal distribution Robust statistics Variance Correlation and dependence Statistics Estimation theory Statistical theory
167	Special Issue Paper Received 17 January 2011, Accepted 28 September[removed]Published online 24 February 2012 in Wiley Online Library Add to Reading List Source URL: deepblue.lib.umich.edu Language: English - Date: 2015-01-21 11:27:35 Statistical theory Maximum likelihood Hardy–Weinberg principle Statistical power Parameter Statistics Estimation theory M-estimators
168	JMLR: Workshop and Conference Proceedings vol[removed]–7.13 25th Annual Conference on Learning Theory The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelih Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-06-17 06:50:52 M-estimators Maximum likelihood Fisher information Parametric model Estimation theory Statistics Statistical theory
169	The integrated correlated variance as a statistical inverse problem Ruth Kaila Aalto University, Helsinki 6th World Congress of the Bachelier Finance Society June 2010, Toronto Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-20 11:38:24 Variance Inverse problem Regression analysis M-estimators Itō diffusion Fisher information Statistics Estimation theory Normal distribution
170	Connecting Measurements in Surveying and its Problems Michaela KORBAŠOVÁ, Slovak Republic and Jaroslav MAREK, Czech Republic Key words: connecting measurements, two-stage regression model, BLUE, H-optimum estimator. Add to Reading List Source URL: www.fig.net Language: English - Date: 2010-11-10 05:56:36 Statistical inference Signal processing M-estimators Gauss–Markov theorem Bias of an estimator Efficient estimator Estimator Efficiency Variance Statistics Estimation theory Statistical theory

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