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Maximum likelihood estimation
Results: 1796

#	Item
731	THE CIRCULAR NATURE OF DISCRETE-TIME FREQUENCY ESTIMATES Brian C. Lovell Peter J. Kootsookosy Robert C. Williamsonz Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:15:49 Statistical inference Fourier analysis Regression analysis Bias of an estimator Estimator Mean squared error Maximum likelihood Discrete Fourier transform Linear regression Statistics Estimation theory Statistical theory
732	Microsoft Word - SCAI_no13.doc Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Regression analysis Statistical theory Statistical methods Maximum likelihood Linear regression Mathematical optimization Least squares Poisson regression Statistics Estimation theory Econometrics
733	Who Killed the Directed Model? Justin Domke, Alap Karapurkar, and Yiannis Aloimonos Department of Computer Science University of Maryland {domke,karapurk,yiannis}@cs.umd.edu Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:37:12 Bayesian statistics Statistical models Estimation theory Graphical models Markov random field Mixture model Maximum likelihood Kullback–Leibler divergence Hidden Markov model Statistics Probability and statistics Statistical theory
734	Ann Inst Stat Math[removed]:39–73 DOI[removed]s10463[removed]The limited information maximum likelihood approach to dynamic panel structural equation models Kentaro Akashi · Naoto Kunitomo Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-01-29 19:19:34 Regression analysis Statistical theory Multivariate statistics Maximum likelihood Orthogonality Estimator Structural equation modeling Statistics Estimation theory Econometrics
735	Robust Statistics vs. MLE for OpRisk Severity Distribution Parameter Estimation (with and without truncation) John Douglas (J.D.) Opdyke, President DataMineIt, [removed] Presented at ORX Analytics Forum, S Add to Reading List Source URL: www.datamineit.com Language: English* - Date: 2013-05-16 10:04:52 Statistical inference Maximum likelihood Estimator Robust statistics Bias of an estimator Normal distribution Statistic Parametric statistics Statistics Statistical theory Estimation theory
736	Robust Statistics vs. MLE for OpRisk Severity Distribution Parameter Estimation John Douglas (J.D.) Opdyke, President DataMineIt, [removed] Presented at American Bankers Association Operational Risk Modeli Add to Reading List Source URL: www.datamineit.com Language: English* - Date: 2013-05-16 10:04:42 Statistical inference M-estimators Maximum likelihood Robust statistics Bias of an estimator Estimator Normal distribution Log-normal distribution Parametric statistics Statistics Estimation theory Statistical theory
737	Microsoft PowerPoint - mle13 Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:19 M-estimators Maximum likelihood Bias of an estimator Support Estimation theory Statistical theory Statistics
738	A Regular Demand System with Commodity-Specific Demographic Effects Add to Reading List Source URL: pandora.nla.gov.au Language: English - Date: 2005-05-13 01:40:14 Statistical theory Cobb–Douglas production function Economics Income elasticity of demand Demand Statistics Consumer theory Estimation theory Maximum likelihood
739	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:09 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory
740	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-02-18 10:40:24 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory

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