Keyword

normal mixture models

Description: Statistical mixture models that represent data as arising from a combination of normal distributions, often used for clustering and density estimation.

Primary topic: Bayesian Methods and Mixture Models (54%)

OpenAlex ID: keywords/normal-mixture-models

Bayesian Analysis of Binary and Polychotomous Response Data

1993 · James H. Albert, Siddhartha Chib · Journal of the American Statistical Association · 3,166

Bayesian Density Estimation and Inference Using Mixtures

1995 · Michael D. Escobar, Mike West · Journal of the American Statistical Association · 2,255

Anomaly detection from hyperspectral imagery

2002 · D.W.J. Stein, S.G. Beaven, et al. · IEEE Signal Processing Magazine · 687

Practical Bayesian Density Estimation Using Mixtures of Normals

1997 · Kathryn Roeder, Larry Wasserman · Journal of the American Statistical Association · 503

Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering

2007 · Chris Fraley, Adrian E. Raftery · Journal of Classification · 409

BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS11This research was partially supported by the National Science Foundation under Grant MCS77-2121.

1983 · Thomas S. Ferguson · Elsevier eBooks · 383

MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering †

2007 · Chris Fraley, Adrian E. Raftery · 370

MCLUST Version 3: An R Package for Normal Mixture Modeling and Model-Based Clustering

2006 · Chris Fraley, Adrian E. Raftery · 331

Information geometry of the EM and em algorithms for neural networks

1995 · Shun-ichi Amari · Neural Networks · 331

Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits

2018 · Yan Zhang, Guanghao Qi, et al. · Nature Genetics · 288

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Modelling high-dimensional data by mixtures of factor analyzers

2003 · G.J. McLachlan, D. Peel, et al. · Computational Statistics & Data Analysis · 278

Density Estimation With Confidence Sets Exemplified by Superclusters and Voids in the Galaxies

1990 · Kathryn Roeder · Journal of the American Statistical Association · 237

Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects

2019 · Guanghao Qi, Nilanjan Chatterjee · Nature Communications · 207

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The EMMIX Algorithm for the Fitting of Normal and t -Components

1999 · Geoff J. McLachlan, David Peel · Journal of Statistical Software · 202

Statistical Inference: The Minimum Distance Approach

2011 · Ayanendranath Basu, Hiroyuki Shioya, et al. · CERN Document Server (European Organization for Nuclear Research) · 186

How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach

2002 · Wei Pan, Jizhen Lin, et al. · Genome biology · 186

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A Comparison of Iterative Maximum Likelihood Estimates of the Parameters of a Mixture of Two Normal Distributions Under Three Different Types of Sample

1973 · David W. Hosmer · Biometrics · 185

Comments and Queries Comment on “An Estimation Procedure for Mixtures of Distributions” by Choi and Bulgren

1971 · P. D. M. Macdonald · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 181

A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays

2006 · G.J. McLachlan, R.W. Bean, et al. · Bioinformatics · 172

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Hypothesis test for normal mixture models: The EM approach

2009 · Jiahua Chen, Pengfei Li · The Annals of Statistics · 168

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A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images

1999 · J. Suckling, T. Sigmundsson, et al. · Magnetic Resonance Imaging · 152

Linkage Analysis and QTL Mapping Using SNP Dosage Data in a Tetraploid Potato Mapping Population

2013 · Christine A. Hackett, Karen McLean, et al. · PLoS ONE · 141

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A Bayesian method for classification and discrimination

1992 · Michael Lavine, Mike West · Canadian Journal of Statistics · 135

Model-based cluster analysis of microarray gene-expression data

2002 · Wei Pan, Jizhen Lin, et al. · Genome biology · 128

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Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model

2006 · D. M. Titterington, Bo Wang · Bayesian Analysis · 115

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Works count: 518

Citation count: 15,880