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Expectation–maximization algorithm
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121	MAP Reconstruction from Spatially Correlated PET Data Adam Alessio, Ken Sauer, and Charles A. Bouman Abstract— High sensitivity 3D PET data is often rebinned into 2D data sets in order to reduce the computation time of Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2005-11-10 13:24:09 Data analysis Algebra of random variables Covariance Expectation–maximization algorithm Positron emission tomography Maximum likelihood Minimum mean square error 3D modeling Statistics Estimation theory Covariance and correlation
122	LATENT CLASS ANALYSIS WITH SAMPLING WEIGHTS: A MAXIMUM LIKELIHOOD APPROACH Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:22 Mathematical analysis Expectation–maximization algorithm Missing data Mixture model Latent class model Latent variable model Weight function Maximum likelihood Statistics Estimation theory Statistical models
123	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data: Supplementary Material Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, Univers Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-24 20:30:41 Data analysis Probability theory Expectation–maximization algorithm Variance Statistics Estimation theory Central limit theorem
124	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification
125	Sequential Monte Carlo for Simultaneous Passive Device-Free Tracking and Sensor Localization Using Received Signal Strength Measurements Xi Chen Andrea Edelstein Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English Control theory Robot control Computational statistics Monte Carlo methods Linear filters Kalman filter Particle filter Expectation–maximization algorithm Auxiliary particle filter Statistics Technology Estimation theory
126	Bayesian Adaptive Exploration Tom Loredo & David Chernoff Department of Astronomy, Cornell University http://www.astro.cornell.edu/staff/loredo/bayes/ Add to Reading List Source URL: www.astro.cornell.edu Language: English - Date: 2004-01-07 16:11:02 Estimation theory Bayesian inference Bayes estimator Loss function Bayesian experimental design Expectation–maximization algorithm Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
127	One-step sparse estimates in nonconcave penalized likelihood modelsT1 Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2008-07-18 23:29:54 Econometrics Parametric statistics Statistical theory Linear regression Expectation–maximization algorithm Ordinary least squares Stability Maximum likelihood Normal distribution Statistics Regression analysis Estimation theory
128	The Support Reduction Algorithm for Computing Non-Parametric Function Estimates in Mixture Models Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-06-13 14:08:43 Operations research Machine learning Estimation theory Expectation–maximization algorithm Missing data Constraint algorithm Mathematical optimization Algorithm XTR Mathematics Applied mathematics Statistics
129	Latent Class (Finite Mixture) Segments How to find them and what to do with them Jay Magidson Statistical Innovations Inc. Belmont, MA USA www.statisticalinnovations.com Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2010-07-29 08:39:16 Local independence Latent variable Mixture model Expectation–maximization algorithm Statistics Statistical models Latent class model
130	Probabilistic Estimates of Attribute Statistics and Match Likelihood for People Entity Resolution Xin Wang, Ang Sun, Hakan Kardes, Siddharth Agrawal, Lin Chen, Andrew Borthwick Data Research Intelius Inc Bellevue, WA Add to Reading List Source URL: bighumanities.files.wordpress.com Language: English - Date: 2014-10-26 22:40:55 Record linkage Expectation–maximization algorithm ALGOL 68 Likelihood function Genetic linkage Pareto distribution Statistics Estimation theory Maximum likelihood

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