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Mixture theory
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#	Item
291	Statistica Sinica: Preprint doi:[removed]ss[removed]Estimation and classification for Finite Mixture Models under Ranked Set Sampling Armin Hatefi,a Mohammad Jafari Jozani,a,1 and Djemel Zioub Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English - Date: 2013-03-24 23:38:21 Statistical models Cluster analysis Machine learning Mixture model Expectation–maximization algorithm Mixture distribution Maximum likelihood Sampling Simple random sample Statistics Estimation theory Statistical theory
292	Microsoft PowerPoint - WWW-StatisticalBasisAndMethods.ppt [Read-Only] Add to Reading List Source URL: www.psc.org Language: English - Date: 2011-08-22 18:39:44 Bayesian statistics Population genetics Mixture model Expectation–maximization algorithm Bayes estimator Bayesian inference Allele frequency Maximum likelihood Hardy–Weinberg principle Statistics Estimation theory Statistical theory
293	Package ‘HTSCluster’ August 26, 2014 Type Package Title Clustering high throughput sequencing (HTS) data Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-26 12:12:19 Cluster analysis Estimation theory Machine learning Expectation–maximization algorithm Mixture model K-means clustering Generalized linear model Parameter Poisson regression Statistics Statistical models Regression analysis
294	FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters Bettina Gru ¨n Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Estimation theory Statistical models Categorical data Expectation–maximization algorithm Mixture model Mixture distribution Maximum likelihood Linear regression Logistic regression Statistics Regression analysis Econometrics
295	Hierarchical Probabilistic Models for Group Anomaly Detection Liang Xiong Machine Learning Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:19:00 Maximum likelihood Expectation–maximization algorithm Anomaly detection Likelihood function Normal distribution Anomaly Latent Dirichlet allocation Outlier Poisson distribution Statistics Estimation theory Mixture model
296	Proposal/Contract no.: [removed]Project start: September 1, 2006 Project end: August 31, 2009 INTAMAP Interoperability and Automated Mapping Add to Reading List Source URL: www.intamap.org Language: English - Date: 2009-11-09 05:05:49 Geostatistics Actuarial science Copula Kriging Variogram Normal distribution Mixture model Spatial dependence Correlation and dependence Statistics Statistical dependence Statistical theory
297	Stochastic Link and Group Detection Jeremy Kubica Andrew Moore Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2002-09-06 13:10:46 Statistical models Network theory Cluster analysis Link analysis Mixture model Expectation–maximization algorithm Naive Bayes classifier RANSAC Database Statistics Machine learning Estimation theory
298	Discussion Article Rejoinder Andrew GELMAN I appreciate Buja’s generous comments and will briefly clarify some issues regarding the role of data visualization in model checking, and the relevance of Bayesian inference Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2007-10-12 17:48:09 Statistical inference Statistical theory Data analysis Scientific method Mixture model Graphical model Bayesian inference Regression analysis Quasi-likelihood Statistics Bayesian statistics Statistical models
299	Gaussian mixture models and the EM algorithm Ramesh Sridharan∗ These notes give a short introduction to Gaussian mixture models (GMMs) and the Expectation-Maximization (EM) algorithm, first for the specific case of GMM Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-05 10:25:35 Expectation–maximization algorithm Normal distribution Standard deviation Kullback–Leibler divergence Likelihood function Generalized method of moments Statistics Estimation theory Maximum likelihood
300	Contents Preface xiii Part I: Fundamentals of Bayesian Inference Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-09-18 03:45:56 Robust statistics Statistical theory Econometrics Statistical inference Bayesian inference Robust regression Linear regression Bayes factor Mixture model Statistics Bayesian statistics Regression analysis

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