https://github.com/mamba413/cdcsis

Conditional Distance Correlation based Statistical Method
https://github.com/mamba413/cdcsis

conditional-dependence feature-selection variable-selection

Last synced: 3 months ago
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Conditional Distance Correlation based Statistical Method

• Host: GitHub
• URL: https://github.com/mamba413/cdcsis
• Owner: Mamba413
• Created: 2018-09-27T10:44:43.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-23T09:47:37.000Z (10 months ago)
• Last Synced: 2025-03-18T05:34:19.277Z (3 months ago)
• Topics: conditional-dependence, feature-selection, variable-selection
• Language: C++
• Homepage:
• Size: 172 KB
• Stars: 7
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 CDC Statistics

===========

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Introdution

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The fundamental problems for data mining and statistical/machine learning are:

- how to select the important features for ultra high dimensional dataset?    

- whether a statistical/machine learning model is sufficient (i.e. does not need to include additional variables)?    

CDC Statistics based statistical method provides solutions for these issues. 

License

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GPL (>= 2)

Reference

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- Xueqin Wang, Wenliang Pan, Wenhao Hu, Yuan Tian & Heping Zhang (2015) Conditional Distance Correlation, Journal of the American Statistical Association, 110:512, 1726-1734, DOI: 10.1080/01621459.2014.993081    

- Canhong Wen, Wenliang Pan, Mian Huang and Xueqin Wang (2018) Sure independence screening adjusted for confounding covariates with ultrahigh dimensional data, Statistica Sinica, 28 (2018), no. 1, 293--318, DOI:10.5705/ss.202014.0117