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Mixture model
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#	Item
701	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
702	PDF Document Add to Reading List Source URL: www.rivercenter.uga.edu Language: English - Date: 2008-10-31 15:29:02 Econometrics Categorical data Poisson processes Generalized linear model Mixture model Negative binomial distribution Poisson distribution Species distribution Linear regression Statistics Regression analysis Statistical models
703	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
704	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
705	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
706	Detecting Anomalous Records in Categorical Datasets Kaustav Das Machine Learning Department Carnegie Mellon University Pittsburgh PA 15203 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-06-26 14:42:17 Probability and statistics Data mining Programming paradigms Anomaly detection Data security Supervised learning Bayesian network Mixture model Attribute grammar Statistics Machine learning Statistical models
707	Package ‘mclust’ September 16, 2014 Version 4.4 Date[removed]Author Chris Fraley, Adrian Raftery and Luca Scrucca Title Normal Mixture Modeling for Model-Based Clustering,Classification, and Density Estimation Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-16 05:58:04 Mixture model Expectation–maximization algorithm Bayesian information criterion Multivariate statistics Density estimation Regularization Statistics Machine learning Statistical classification
708	Package ‘EBMAforecast’ July 2, 2014 Type Package Title Ensemble BMA Forecasting Version 0.42 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:43:13 Actuarial science Statistical forecasting Econometrics Ensemble forecasting Generalized linear model Calibration Logistic regression Mixture model Expectation–maximization algorithm Statistics Regression analysis Statistical models
709	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
710	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

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