Variable Selection for High Dimensional Metagenomic Data

Contemporary Biostatistics with Biopharmaceutical Applications - ICSA Book Series in Statistics ◽

10.1007/978-3-030-15310-6_2 ◽

2019 ◽

pp. 19-32

Author(s):

Pan Wang ◽

Hongmei Jiang

Keyword(s):

Variable Selection ◽

Metagenomic Data ◽

High Dimensional ◽

Selection For

Download Full-text

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 ◽

Selection For

Download Full-text

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 ◽

Cited By ~ 6

Author(s):

Zhaoping Hong ◽

Yuao Hu ◽

Heng Lian

Keyword(s):

Variable Selection ◽

Linear Models ◽

High Dimensional ◽

Partially Linear Models ◽

Varying Coefficient ◽

Partially Linear ◽

Selection For

Download Full-text

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 ◽

Cited By ~ 34

Author(s):

Wenxin Jiang

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Convergence Rates ◽

Bayesian Variable Selection ◽

High Dimensional ◽

Selection For

Download Full-text

Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2018.03.003 ◽

2018 ◽

Vol 124 ◽

pp. 132-150 ◽

Cited By ~ 3

Author(s):

Yong He ◽

Xinsheng Zhang ◽

Liwen Zhang

Keyword(s):

Variable Selection ◽

Regression Model ◽

Hypothesis Testing ◽

Testing Procedure ◽

Gaussian Copula ◽

High Dimensional ◽

Hypothesis Testing Procedure ◽

Selection For

Download Full-text

Sparse Bayesian variable selection for classifying high-dimensional data

Statistics and Its Interface ◽

10.4310/sii.2018.v11.n2.a14 ◽

2018 ◽

Vol 11 (2) ◽

pp. 385-395 ◽

Cited By ~ 1

Author(s):

Aijun Yang ◽

Heng Lian ◽

Xuejun Jiang ◽

Pengfei Liu

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

Selection For

Download Full-text

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics ◽

10.1109/tcbb.2015.2440244 ◽

2018 ◽

Vol 15 (2) ◽

pp. 537-550

Author(s):

Yize Zhao ◽

Jian Kang ◽

Qi Long

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Neuroimaging Data ◽

Selection For

Download Full-text

SEQUENTIAL, BOTTOM-UP VARIABLE SELECTION FOR HIGH-DIMENSIONAL CLASSIFICATION

Australian & New Zealand Journal of Statistics ◽

10.1111/j.1467-842x.2010.00594.x ◽

2010 ◽

Vol 52 (4) ◽

pp. 403-421

Author(s):

Peter Hall ◽

Hugh Miller

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Bottom Up ◽

Dimensional Classification ◽

Selection For

Download Full-text

Information theoretic feature selection for high dimensional metagenomic data

Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) ◽

10.1109/gensips.2012.6507749 ◽

2012 ◽

Cited By ~ 6

Author(s):

Gregory Ditzler ◽

Gail Rosen ◽

Robi Polikar

Keyword(s):

Feature Selection ◽

Metagenomic Data ◽

High Dimensional ◽

Information Theoretic ◽

Selection For

Download Full-text

Random KNN modeling and variable selection for high dimensional data

10.33915/etd.4492 ◽

2009 ◽

Cited By ~ 2

Author(s):

Shengqiao Li

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Selection For

Download Full-text

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

Download Full-text