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Maximum likelihood estimation
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#	Item
461	Expectation Maximization for Weakly Labeled Data Yuri Ivanov MIT Media Laboratory, 20 Ames St., E15-390, Cambridge, MA 02139, USA Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2003-06-30 17:21:48 Maximum likelihood Kullback–Leibler divergence M-estimator Likelihood function Reinforcement learning Divergence Multi-armed bandit Marginal likelihood Extremum estimator Statistics Estimation theory Expectation–maximization algorithm
462	IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 12, NO. 2, MARCHEnhancement of Log Mel Power Spectra of Speech Using a Phase-Sensitive Model of Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-04 13:00:33 Signal processing Speech enhancement Computational linguistics Minimum mean square error Estimator Speech recognition Mean squared error Maximum likelihood Image noise Statistics Estimation theory Statistical inference
463	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
464	Bayesian Estimation of Sparse Smooth Speckle Shape Models for Motion Tracking in Medical Ultrasound Shaun Bundervoet, Colas Schretter, Ann Dooms and Peter Schelkens Vrije Universiteit Brussel, Dept. of Electronics and In Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:12 Econometrics Expectation–maximization algorithm Missing data Gaussian function Mixture model Autoregressive conditional heteroskedasticity Speckle tracking echocardiography Maximum likelihood Multivariate normal distribution Statistics Estimation theory Statistical models
465	A Phase-Averaged Model for the Relationship between Noisy Speech, Clean Speech and Noise in the log-Mel Domain Friedrich Faubel, John McDonough, Dietrich Klakow Spoken Language Systems, Saarland University, D66123 Saarbr Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-04 13:00:16 Communication Estimation theory Maximum likelihood Statistics Noise Additive white Gaussian noise
466	Estimation of atmospheric dispersion sources from sensor data with Bayesian methods Leif Persson Swedish Defence Research Agency FOI Division for CBRN Defence and Security Umeå, Sweden Add to Reading List Source URL: www.nbcsec.fi Language: English - Date: 2011-03-02 12:46:48 Bayesian statistics Summary statistics Estimation theory Normal distribution Standard deviation Maximum likelihood Bayesian inference Atmospheric dispersion modeling Markov chain Statistics Statistical theory Statistical inference
467	SAS Global ForumStatistics and Data Analysis PaperSmall Area Estimation for Survey Data Analysis Using SAS® Software Add to Reading List Source URL: support.sas.com Language: English - Date: 2011-03-29 09:43:33 Regression analysis Statistical inference Summary statistics Mixed model SAS Variance Estimator Sample mean and sample covariance Maximum likelihood Statistics Estimation theory Statistical methods
468	STAT411 Generalised Linear Models E2 2012 Statistics Contents Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2014-11-05 17:31:43 Estimation theory Poisson regression Generalized estimating equation Additive model Generalized linear model Generalized additive model Maximum likelihood Statistics Regression analysis Linear regression
469	M PRA Munich Personal RePEc Archive A misspecification test for finite-mixture logistic models for clustered binary and ordered responses Add to Reading List Source URL: mpra.ub.uni-muenchen.de Language: English - Date: 2015-05-08 12:10:18 Regression analysis Actuarial science Econometrics Expectation–maximization algorithm Maximum likelihood Fisher information Mixture model Generalized linear model Normal distribution Statistics Estimation theory Statistical models
470	MAXIMUM CONDITIONAL LIKELIHOOD LINEAR REGRESSION AND MAXIMUM A POSTERIORI FOR HIDDEN CONDITIONAL RANDOM FIELDS SPEAKER ADAPTATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Dan Jurafsky3 Electrical Engineering,1 Linguistics2 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2008-04-28 14:26:34 Econometrics Machine learning Markov models Hidden Markov model Maximum likelihood Linear regression Pattern recognition Normal distribution Conditional random field Statistics Estimation theory Regression analysis

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