Thresholded Lasso for high dimensional variable selection

Type: Preprint

Publication Date: 2023-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2309.15355

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Thresholded Lasso for high dimensional variable selection and statistical estimation 2010 Shuheng Zhou
+ Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation 2009 Shuheng Zhou
+ PDF Chat Sharp Threshold Detection based on Sup-Norm Error Rates in High-Dimensional Models 2015 Laurent Callot
Mehmet Caner
Anders Kock
Andrés Riquelme
+ PDF Chat The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso) 2011 Sara van de Geer
Peter Bühlmann
Shuheng Zhou
+ Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles 2021 Pascaline Descloux
Sylvain Sardy
+ Model selection with lasso-zero: adding straw to the haystack to better find needles 2018 Pascaline Descloux
Sylvain Sardy
+ Sparse covariance thresholding for high-dimensional variable selection 2010 X. Jessie Jeng And Z. John Daye
+ PDF Chat Sparse covariance thresholding for high-dimensional variable selection 2011 X. Jessie Jeng
Z. John Daye
+ Sparse covariance thresholding for high-dimensional variable selection 2010 X. Jessie Jeng And Z. John Daye
+ High dimensional thresholded regression and shrinkage effect 2014 Zemin Zheng
Yingying Fan
Jinchi Lv
+ PDF Chat Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles 2021 Pascaline Descloux
Sylvain Sardy
+ Quantile universal threshold: model selection at the detection edge for high-dimensional linear regression 2014 Jairo Diaz-Rodriguez
Sylvain Sardy
+ PDF Chat The Lasso for High Dimensional Regression with a Possible Change Point 2015 Sokbae Lee
Myung Hwan Seo
Youngki Shin
+ Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach 2020 Mohamed Ndaoud
+ Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach. 2020 Mohamed Ndaoud
+ The adaptive and the thresholded Lasso for potentially misspecified models 2010 Sara van de Geer
Peter Bühlmann
Shuheng Zhou
+ Greedy Variance Estimation for the LASSO 2018 Christopher J. Kennedy
Rachel Ward
+ Greedy Variance Estimation for the LASSO 2018 Christopher Kennedy
Rachel Ward
+ PDF Chat High Dimensional Thresholded Regression and Shrinkage Effect 2013 Zemin Zheng
Yingying Fan
Jinchi Lv
+ PENALIZED LINEAR UNBIASED SELECTION 2007 Cun‐Hui Zhang

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors