SCAD-penalized quantile regression for high-dimensional data analysis and variable selection

Statistica Neerlandica ◽

10.1111/stan.12056 ◽

2015 ◽

Vol 69 (3) ◽

pp. 212-235 ◽

Author(s):

Muhammad Amin ◽

Lixin Song ◽

Milton Abdul Thorlie ◽

Xiaoguang Wang

Keyword(s):

Data Analysis ◽

Variable Selection ◽

Quantile Regression ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Variable selection via combined penalization for high-dimensional data analysis

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2010.03.026 ◽

2010 ◽

Vol 54 (10) ◽

pp. 2230-2243 ◽

Author(s):

Xiaoming Wang ◽

Taesung Park ◽

K.C. Carriere

Keyword(s):

Data Analysis ◽

Variable Selection ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis

Computational Statistics ◽

10.1007/s00180-016-0665-3 ◽

2016 ◽

Vol 32 (1) ◽

pp. 127-143 ◽

Author(s):

Aijun Yang ◽

Xuejun Jiang ◽

Lianjie Shu ◽

Jinguan Lin

Keyword(s):

Data Analysis ◽

Variable Selection ◽

High Dimensional Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

High Dimensional Data Analysis

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) ◽

10.2991/iccsee.2013.583 ◽

2013 ◽

Author(s):

Lincheng Jiang ◽

Wentang Tan ◽

Zhenwen Wang ◽

Fengjing Yin ◽

Bin Ge ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

High Dimensional Data ◽

Nonnegative Matrix ◽

High Dimensional ◽

High Dimensional Data Analysis ◽

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Machine Learning and High-Dimensional Data Analysis

Principles of Clinical Cancer Research ◽

10.1891/9781617052392.0017 ◽

2018 ◽

Author(s):

Sanjay Aneja ◽

James B. Yu

Keyword(s):

Machine Learning ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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From Data to the Physics Using Ultrametrics: New Results in High Dimensional Data Analysis

10.1063/1.2193119 ◽

2006 ◽

Author(s):

Fionn Murtagh

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis

IEEE Transactions on Big Data ◽

10.1109/tbdata.2019.2937785 ◽

2019 ◽

pp. 1-1 ◽

Author(s):

Fei Wen ◽

Lei Chu ◽

Rendong Ying ◽

Peilin Liu

Keyword(s):

Data Analysis ◽

Covariance Matrix ◽

High Dimensional Data ◽

Positive Definite ◽

High Dimensional ◽

High Dimensional Data Analysis

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Bitmap Indices for Speeding Up High-Dimensional Data Analysis

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/3-540-46146-9_87 ◽

2002 ◽

pp. 881-890 ◽

Author(s):

Kurt Stockinger

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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High Dimensional Data Analysis: Integrating Submodels

Contributions to Statistics - Big and Complex Data Analysis ◽

10.1007/978-3-319-41573-4_14 ◽

2017 ◽

pp. 285-304 ◽

Author(s):

Syed Ejaz Ahmed ◽

Bahadır Yüzbaşı

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Projected Clustering with LASSO for High Dimensional Data Analysis

Advances in Intelligent Systems and Computing - Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 ◽

10.1007/978-3-319-11933-5_23 ◽

2015 ◽

pp. 201-209

Author(s):

Lidiya Narayanan ◽

Anoop S. Babu ◽

M. R. Kaimal

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Projected Clustering ◽

High Dimensional Data Analysis

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