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Maximum likelihood estimation
Results: 1796

#	Item
851	Power-law distributions in empirical data Aaron Clauset,1, 2 Cosma Rohilla Shalizi,3 and M. E. J. Newman4 1 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA Department of Computer Science, University of N Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-18 20:31:24 Estimation theory Exponentials Normal distribution Statistical models Maximum likelihood Power law Exponential distribution Likelihood function Probability distribution Statistics Mathematical analysis Probability and statistics
852	Empirical Bayes Estimates of Parameters from the Logistic Regression Model Add to Reading List Source URL: act.org Language: English - Date: 2015-01-06 13:08:28 Econometrics Linear regression Empirical Bayes method Logistic regression Least squares Maximum likelihood Expectation–maximization algorithm Supervised learning Book:Machine Learning - The Complete Guide Statistics Regression analysis Estimation theory
853	Journal of Reliability and Statistical Studies; ISSN (Print): [removed], (Online):[removed]Vol. 4, Issue[removed]): 73-84 APPROACH OF LINEAR MIXED MODEL IN LONGITUDINAL DATA ANALYSIS USING SAS Pankaj Tiwari* and Gaurav S Add to Reading List Source URL: www.karmiclifesciences.com Language: English - Date: 2014-01-25 15:10:47 Mixed model Restricted maximum likelihood Linear regression Covariance Maximum likelihood Ordinary least squares Variance Fixed effects model Least squares Statistics Regression analysis Estimation theory
854	A Probabilistic Approach to Spatiotemporal Theme Pattern Mining on Weblogs Qiaozhu Mei† , Chao Liu† , Hang Su‡ ChengXiang Zhai† † Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2006-08-29 15:06:19 Statistical models Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Affect Event Probabilistic latent semantic analysis Self-organization Statistics Estimation theory Statistical theory
855	High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods Christopher C. Johnson CS, UT Austin [removed] Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-04-26 08:56:37 Fisher information Multivariate normal distribution Maximum likelihood Expectation–maximization algorithm Statistics Estimation theory Feature selection
856	1 POSSIBLE SOLUTIONS OF SOME ESSENTIAL ZERO PROBLEMS IN COMPOSITIONAL DATA ANALYSIS J. Aitchison1 and J. W. Kay2 Department of Statistics, University of Glasgow, Glasgow G12 8QQ, Scotland Add to Reading List Source URL: dugi-doc.udg.edu Language: English - Date: 2012-11-28 04:19:12 Statistical theory Normal distribution Compositional data Analytic number theory Statistical models Statistics Estimation theory Maximum likelihood
857	Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-23 00:17:42 Econometrics M-estimators Regression analysis Parametric model Maximum likelihood Fisher information Loss function Linear regression Consistent estimator Statistics Estimation theory Statistical theory
858	A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Sahand Negahban Department of EECS UC Berkeley sahand [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2009-11-18 14:28:49 Logic Statistical theory Regression analysis Maximum likelihood Linear regression Entailment Projection Loss function Dimensional analysis Statistics Estimation theory Econometrics
859	MARKOV LEARNING MODELS FOR MULTIPERSON SITUATIONS, II. METHODS OF ANALYSIS by PATRICK SUPPES and RICHARD C. ATKINSON TECHNICAL REPORI NO. 27 Add to Reading List Source URL: suppes-corpus.stanford.edu Language: English - Date: 2008-10-15 20:34:14 Statistical theory Statistical inference Regression analysis Markov chain Maximum likelihood Least squares Stochastic matrix Expectation–maximization algorithm Models of DNA evolution Statistics Markov models Estimation theory
860	Werner Wothke, SmallWaters Corp. Longitudinal and multi-group modeling with missing data Reprinted with permission from T.D. Little, K.U. Schnabel and J. Baumert [Eds[removed]Modeling longitudinal and multilevel data: P Add to Reading List Source URL: www.smallwaters.com Language: English - Date: 2009-03-26 00:51:14 Data analysis Summary statistics Estimation theory Covariance Variance Sample mean and sample covariance Linear regression Structural equation modeling Maximum likelihood Statistics Covariance and correlation Econometrics

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