Help file for the function mcmc.dp.specd The model is y[i,j] ~ N(mu[i,j],sigma_e^2), where mu[i,j] has mean sum(X[i,j,]*beta), variance sigma_s^2, and correlation corresponding to the mixture of nt non-central Matern cor

Source URL: www4.stat.ncsu.edu

Efficient Highly Over-Complete Sparse Coding using a Mixture Model Jianchao Yang1 , Kai Yu2 , and Thomas Huang1 1 Beckman Institute, University of Illinois at Urbana Champaign, IL

Source URL: www.dbs.ifi.lmu.de

mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation Chris Fraley, Adrian E. Raftery University of Washington, USA T. Brendan Murphy University College Dublin

Source URL: www.stat.washington.edu

A spatial Dirichlet process mixture model for clustering population genetics data Brian J. Reich1 and Howard D. Bondell Department of Statistics, North Carolina State University, Raleigh, NC June 17, 2010 Abstract

Source URL: www4.stat.ncsu.edu

Bayesian Analysis, Number 2, pp. 333–348 A gamma model for DNA mixture analyses R. G. Cowell,∗ S. L. Lauritzen† and J. Mortera‡

Source URL: ba.stat.cmu.edu

Journal of Classification 24:DOI: s00357z Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering

Source URL: www.stat.washington.edu

Representing Degree Distributions, Clustering, and Homophily in Social Networks With Latent Cluster Random Effects Models Pavel N. Krivitsky Mark S. Handcock

Source URL: www.stat.washington.edu

• Machine learning
• Statistical models
• Cluster analysis
• Normal distribution
• Mixture model
• Statistics
• Probability and statistics
• Probability

Label Switch in Mixture Model and Relabeling Algorithm           Project for Reading Course Prepared by: Fanfu Xie, ZhengFei Chen Label Switch in Mixture Model and Relabeling Algorithm

Source URL: probability.ca

• Estimation theory
• Computational statistics
• Monte Carlo methods
• Bayesian statistics
• Mixture model
• Markov chain Monte Carlo
• Markov chain
• Mixture distribution
• Gibbs sampling
• Statistics
• Probability and statistics
• Markov models

Spatial-temporal association between fine particulate matter and daily mortality 1 Jungsoon Choi, Montserrat Fuentes, and Brian J. Reich Abstract Fine particulate matter (PM2.5 ) is a mixture of pollutants that has been

Source URL: www4.stat.ncsu.edu

• Actuarial science
• Estimation theory
• Linear regression
• Nonparametric regression
• Air pollution
• Poisson regression
• Generalized linear model
• Spatial epidemiology
• Statistics
• Regression analysis
• Econometrics

ISSNDependent mixture models: clustering and borrowing information Antonio Lijoi

Source URL: www.carloalberto.org

• Probability
• Statistical models
• Statistical dependence
• Statistical theory
• Dirichlet process
• Exchangeable random variables
• Parametric model
• Independence
• Probability space
• Statistics
• Probability theory
• Probability and statistics