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Maximum likelihood estimation
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#	Item
361	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties Jianqing Fan and Runze Li Variable selection is fundamenta l to high-dimensiona l statistical modeling, including nonparametri c regression Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2003-04-03 16:20:55 Statistical theory Econometrics Parametric statistics Linear regression Maximum likelihood Least squares Ordinary least squares Bayesian information criterion Bias of an estimator Statistics Regression analysis Estimation theory
362	Feature Matching in Time Series Modelling Yingcun Xia1 1 2 Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2010-11-01 07:00:48 Econometrics Maximum likelihood Economic model Loss function Statistical theory Statistics Estimation theory
363	Microsoft Word - IJRS3012302_Fuchs and Neumaier.doc Add to Reading List Source URL: www.mat.univie.ac.at Language: English - Date: 2009-06-10 06:55:02 Estimation theory Statistical inference Dimensional analysis Confidence interval Maximum likelihood Statistics Measurement Econometrics
364	Maximum likelihood pedigree reconstruction using integer programming James Cussens Dept of Computer Science & York Centre for Complex Systems Analysis University of York, York, YO10 5DD, UK Abstract Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2010-06-10 12:11:55 Estimation theory Network flow Statistical theory Graphical models Maximum likelihood Bayesian network Directed acyclic graph Likelihood function Genetic linkage Graph theory Statistics Bayesian statistics
365	1 A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays Dmitry Malioutov, M¨ujdat C¸etin, and Alan Willsky Add to Reading List Source URL: people.sabanciuniv.edu Language: English - Date: 2005-09-18 07:02:50 Mathematics Mathematical optimization Linear algebra Overcompleteness Maximum likelihood Quadratic programming Sparse matrix Sensor array Statistics Estimation theory M-estimators
366	Optimizing F-Measures: A Tale of Two Approaches Nan Ye Department of Computer Science, National University of Singapore, SingaporeKian Ming A. Chai Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-19 09:58:39 Maximum likelihood Kullback–Leibler divergence Law of large numbers Fisher information Statistics Statistical theory Estimation theory
367	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
368	SPEED IMPROVEMENT OF THE TREE-BASED TIME ASYNCHRONOUS SEARCH M. Novak M.Picheny Add to Reading List Source URL: www.isca-speech.org Language: English - Date: 2009-09-21 06:41:19 Error detection and correction Bioinformatics Computational linguistics Science Viterbi algorithm Hidden Markov model Speech recognition Maximum likelihood Likelihood function Markov models Statistics Estimation theory
369	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
370	Nonparametric estimation of a convex bathtub-shaped hazard function Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-01-08 12:03:41 Estimation theory M-estimators Analysis Maximum likelihood Convex function Derivative Mathematical analysis Mathematics Statistical theory

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