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Finite Mixture Models

Annual review of statistics and its application, 2019-03, Vol.6 (1), p.355-378

2019

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On the number of components in a Gaussian mixture model

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2014-09, Vol.4 (5), p.341-355

2014

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Selection Bias in Gene Extraction on the Basis of Microarray Gene-Expression Data

Proceedings of the National Academy of Sciences - PNAS, 2002-05, Vol.99 (10), p.6562-6566

2002

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Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages

Proceedings of the National Academy of Sciences - PNAS, 2012-04, Vol.109 (16), p.5925-5926

2012

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Automated high-dimensional flow cytometric data analysis

Proceedings of the National Academy of Sciences - PNAS, 2009-05, Vol.106 (21), p.8519-8524

2009

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Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data

PloS one, 2014-07, Vol.9 (7), p.e100334-e100334

2014

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Deep Gaussian mixture models

Statistics and computing, 2019-01, Vol.29 (1), p.43-51

2019

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Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

BMC bioinformatics, 2012-11, Vol.13 (1), p.300-300, Article 300

2012

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Application of Multiple Imputation for Missing Values in Three-Way Three-Mode Multi-Environment Trial Data

PloS one, 2015-12, Vol.10 (12), p.e0144370-e0144370

2015

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A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction

Biometrics, 2020-09, Vol.76 (3), p.753-766

2020

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Mini-batch learning of exponential family finite mixture models

Statistics and computing, 2020-07, Vol.30 (4), p.731-748

2020

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An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified

Statistics and computing, 2020-11, Vol.30 (6), p.1779-1790

2020

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Mixtures of common t-factor analyzers for clustering high-dimensional microarray data

Bioinformatics, 2011-05, Vol.27 (9), p.1269-1276

2011

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Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework

Pattern recognition, 2019-04, Vol.88, p.261-271

2019

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Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data

IEEE transactions on pattern analysis and machine intelligence, 2010-07, Vol.32 (7), p.1298-1309

2010

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Mixture cure models with time-varying and multilevel frailties for recurrent event data

Statistical methods in medical research, 2020-05, Vol.29 (5), p.1368-1385

2020

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Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R

Australian & New Zealand journal of statistics, 2024-06, Vol.66 (2), p.146-162

2024

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Extending mixtures of factor models using the restricted multivariate skew-normal distribution

Journal of multivariate analysis, 2016-01, Vol.143, p.398-413

2016

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EMMIXcskew : An R Package for the Fitting of a Mixture of Canonical Fundamental Skew t -Distributions

Journal of statistical software, 2018-02, Vol.83 (3), p.1-32

2018

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Robust clustering based on finite mixture of multivariate fragmental distributions

Statistical modelling, 2023-06, Vol.23 (3), p.247-272

2023

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Bayesian analysis of generalized linear mixed models with spatial correlated and unrestricted skew normal errors

Communications in statistics. Theory and methods, 2022-12, Vol.51 (24), p.8476-8498

2022

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Top 10 algorithms in data mining

Knowledge and information systems, 2008, Vol.14 (1), p.1-37

2008

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Functional mixtures-of-experts

Statistics and computing, 2024-06, Vol.34 (3), Article 98

2024

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Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces

Communications in statistics. Theory and methods, 2023-07, Vol.52 (14), p.5048-5059

2023

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Data fusion using factor analysis and low-rank matrix completion

Statistics and computing, 2021-09, Vol.31 (5), Article 58

2021

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Finite Mixture Models

On the number of components in a Gaussian mixture model

Selection Bias in Gene Extraction on the Basis of Microarray Gene-Expression Data

Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages

Automated high-dimensional flow cytometric data analysis

Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data

Deep Gaussian mixture models

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

Application of Multiple Imputation for Missing Values in Three-Way Three-Mode Multi-Environment Trial Data

A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction

Mini-batch learning of exponential family finite mixture models

An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified

Mixtures of common t-factor analyzers for clustering high-dimensional microarray data

Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework

Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data

Mixture cure models with time-varying and multilevel frailties for recurrent event data

Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R

Extending mixtures of factor models using the restricted multivariate skew-normal distribution

EMMIXcskew : An R Package for the Fitting of a Mixture of Canonical Fundamental Skew t -Distributions

Robust clustering based on finite mixture of multivariate fragmental distributions

Bayesian analysis of generalized linear mixed models with spatial correlated and unrestricted skew normal errors

Top 10 algorithms in data mining

Functional mixtures-of-experts

Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces

Data fusion using factor analysis and low-rank matrix completion

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