Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

10.1111/j.1541-0420.2007.00922.x ◽

2008 ◽

Vol 64 (2) ◽

pp. 440-448 ◽

Author(s):

Sijian Wang ◽

Ji Zhu

Keyword(s):

Variable Selection ◽

Microarray Data ◽

High Dimensional ◽

Model Based ◽

Selection For ◽

High Dimensional Clustering

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Variable selection for model-based high-dimensional clustering

Prediction and Discovery - Contemporary Mathematics ◽

10.1090/conm/443/08562 ◽

2007 ◽

pp. 177-192

Author(s):

Sijian Wang ◽

Ji Zhu

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Model Based ◽

Selection For ◽

High Dimensional Clustering

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Variable selection for partially varying coefficient model based on modal regression under high dimensional data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2020.1747081 ◽

2020 ◽

pp. 1-17

Author(s):

Yafeng Xia ◽

Lirong Zhang ◽

Aiping Zhang

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Varying Coefficient Model ◽

Varying Coefficient ◽

Model Based ◽

Modal Regression ◽

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Pairwise Variable Selection for High-Dimensional Model-Based Clustering

10.1111/j.1541-0420.2009.01341.x ◽

2009 ◽

Vol 66 (3) ◽

pp. 793-804 ◽

Author(s):

Jian Guo ◽

Elizaveta Levina ◽

George Michailidis ◽

Ji Zhu

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Dimensional Model ◽

Model Based Clustering ◽

Model Based ◽

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Bayesian variable selection for linear regression in high dimensional microarray data

Proceedings of the 7th international workshop on Data and text mining in biomedical informatics - DTMBIO '13 ◽

10.1145/2512089.2512094 ◽

2013 ◽

Author(s):

Wellington Cabrera ◽

Carlos Ordonez ◽

David Sergio Matusevich ◽

Veerabhadran Baladandayuthapani

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Microarray Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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Variable Selection for Partially Linear Additive Model Based on Modal Regression Under High Dimensional Data

International Journal of Statistical Distributions and Applications ◽

10.11648/j.ijsd.20200601.11 ◽

2020 ◽

Vol 6 (1) ◽

pp. 1

Author(s):

Yafeng Xia ◽

Lirong Zhang

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

Additive Model ◽

High Dimensional ◽

Model Based ◽

Linear Additive Model ◽

Partially Linear ◽

Modal Regression ◽

Selection For ◽

Partially Linear Additive Model

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Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology

Intelligent Decision Technologies - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-16-2765-1_9 ◽

2021 ◽

pp. 109-125

Author(s):

Yuhei Kotsuka ◽

Sumika Arima

Keyword(s):

Variable Selection ◽

Anomaly Detection ◽

High Dimensional Data ◽

Categorical Variables ◽

High Dimensional ◽

Detection Technology ◽

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Variable selection for high-dimensional varying coefficient partially linear models via nonconcave penalty

Metrika ◽

10.1007/s00184-012-0422-8 ◽

2012 ◽

Vol 76 (7) ◽

pp. 887-908 ◽

Author(s):

Zhaoping Hong ◽

Yuao Hu ◽

Heng Lian

Keyword(s):

Variable Selection ◽

Linear Models ◽

High Dimensional ◽

Partially Linear Models ◽

Varying Coefficient ◽

Partially Linear ◽

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Bayesian variable selection for high dimensional generalized linear models: Convergence rates of the fitted densities

The Annals of Statistics ◽

10.1214/009053607000000019 ◽

2007 ◽

Vol 35 (4) ◽

pp. 1487-1511 ◽

Author(s):

Wenxin Jiang

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Convergence Rates ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R

Journal of Statistical Software ◽

10.18637/jss.v084.i01 ◽

2018 ◽

Vol 84 (1) ◽

Author(s):

Luca Scrucca ◽

Adrian E. Raftery

Keyword(s):

Variable Selection ◽

Gaussian Model ◽

Model Based Clustering ◽

Model Based ◽

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Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data

Applied Mathematics and Computation ◽

10.1016/j.amc.2014.03.141 ◽

2014 ◽

Vol 238 ◽

pp. 132-140 ◽

Author(s):

Hong-Yi Peng ◽

Chun-Fu Jiang ◽

Xiang Fang ◽

Jin-Shan Liu

Keyword(s):

Discriminant Analysis ◽

Variable Selection ◽

Linear Discriminant Analysis ◽

Microarray Data ◽

Selection Algorithm ◽

Fisher Linear Discriminant ◽

Linear Discriminant ◽

Fisher Linear Discriminant Analysis ◽

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