STATISTICAL METHODS FOR VARIABLE SELECTION IN THE CONTEXT OF HIGH-DIMENSIONAL DATA: LASSO AND EXTENSIONS

Yang, Xiao Di

Open source

DOI
10.71548/18966
Published
2011
Container
Not recorded
Publisher
McMaster University
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.71548/18966,
  title = {STATISTICAL METHODS FOR VARIABLE SELECTION IN THE CONTEXT OF HIGH-DIMENSIONAL DATA: LASSO AND EXTENSIONS},
  author = {Yang, Xiao Di},
  year = {2011},
  doi = {10.71548/18966},
  url = {https://doi.org/10.71548/18966}
}

RIS

TY  - JOUR
TI  - STATISTICAL METHODS FOR VARIABLE SELECTION IN THE CONTEXT OF HIGH-DIMENSIONAL DATA: LASSO AND EXTENSIONS
AU  - Yang, Xiao Di
PY  - 2011
DO  - 10.71548/18966
UR  - https://doi.org/10.71548/18966
ER  - 

APA

Di, Y. X. (2011). STATISTICAL METHODS FOR VARIABLE SELECTION IN THE CONTEXT OF HIGH-DIMENSIONAL DATA: LASSO AND EXTENSIONS. https://doi.org/10.71548/18966

Source records