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Maximum likelihood estimation
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#	Item
681	Model Fit and Model Selection Add to Reading List Source URL: research.stlouisfed.org Language: English - Date: 2009-06-04 15:23:11 Statistical theory Dynamic stochastic general equilibrium Parameter Vector autoregression Statistics Estimation theory Maximum likelihood
682	NBP Working Paper No. 170 www.nbp.pl Global identification of linearized DSGE models Andrzej Kocięcki, Marcin Kolasa Add to Reading List Source URL: www.nbp.pl Language: English - Date: 2014-09-25 04:13:36 Dimensional analysis Economics Statistical theory Maximum likelihood Estimation theory Identifiability Dynamic stochastic general equilibrium
683	Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin Richard S. Zemel Yahoo! Research and Department of Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-06-29 08:36:44 Cluster analysis Collaborative filtering Social information processing Mixture model Expectation–maximization algorithm Recommender system Conjugate prior Statistical model Maximum likelihood Statistics Estimation theory Statistical theory
684	1 Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-09 12:24:35 Maximum likelihood Expectation–maximization algorithm Likelihood function Likelihood-ratio test Score Hájek–Le Cam convolution theorem Fisher consistency Statistics Estimation theory Statistical theory
685	Chap.8 Learning and generalization [Book, Chap. 6] Avoid using a model with too little flexibility to model the underlying nonlinear relation adequately (underfitting ), and using a model with too much flexibility, which Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-11-04 00:57:35 Maximum likelihood Mean squared error Likelihood function Standard deviation Kullback–Leibler divergence Expectation–maximization algorithm Statistics Estimation theory Normal distribution
686	Statistics 582, Problem Set 4 Wellner; [removed]Reading: Lehmann, TPE, Chapter 5, sections 5.1 and 5.2. Course Notes, Chapter 5, sections 4-7. Due: Wednesday, February 4, 2015. Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-28 11:07:46 Maximum likelihood Minimax estimator Gamma distribution Conjugate prior Estimator Mean squared error Efficient estimator Loss function Statistics Estimation theory Bayes estimator
687	1 Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-12-08 16:14:10 Parametric model Sufficient statistic Bias of an estimator Law of large numbers Maximum likelihood Hájek–Le Cam convolution theorem Statistics Statistical theory Estimation theory
688	U:MDLECR.7-ISSUESLECR[removed]LECR[removed]DVI Add to Reading List Source URL: www.atl-res.com Language: English - Date: 2007-05-10 21:42:17 Estimation theory Statistical theory Maximum likelihood Gibbs sampling Likelihood function Likelihood-ratio test Prior probability Mixture model Parameter Statistics Probability and statistics Bayesian statistics
689	Statistics 582, Problem Set 1 Wellner; [removed]Reading: • Chapter 6, Sections 4-6 and 10; Lehmann and Casella, TPE, pages[removed]and[removed]. • Course Notes, sections 4.5 and 4.6. Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-07 12:21:00 Identifiability Expectation–maximization algorithm Likelihood function Errors-in-variables models Differences between codices Sinaiticus and Vaticanus Estimation theory Statistics Maximum likelihood
690	Bayesian Spatial Hierarchical Model Add to Reading List Source URL: www.greenhouse2011.com Language: English - Date: 2013-04-16 20:44:48 Statistical theory Spatial data analysis Maximum likelihood Spatial analysis Generalized linear model Statistics Estimation theory Statistical inference

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