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Cited article:

Variable Selection for Sparse Logistic Regression with Grouped Variables

Mingrui Zhong, Zanhua Yin and Zhichao Wang
Mathematics 11 (24) 4979 (2023)
https://doi.org/10.3390/math11244979

A Conditional Bayesian Approach with Valid Inference for High Dimensional Logistic Regression

Abhishek Ojha and Naveen N. Narisetty
Bayesian Analysis -1 (-1) (2023)
https://doi.org/10.1214/23-BA1408

Lasso in infinite dimension: application to variable selection in functional multivariate linear regression

Angelina Roche
Electronic Journal of Statistics 17 (2) (2023)
https://doi.org/10.1214/23-EJS2184

Weighted Lasso estimates for sparse logistic regression: non-asymptotic properties with measurement errors

Huamei Huang, Yujing Gao, Huiming Zhang and Bo Li
Acta Mathematica Scientia 41 (1) 207 (2021)
https://doi.org/10.1007/s10473-021-0112-6

Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach

Qi Zheng, Hyokyoung G. Hong and Yi Li
Biometrics 76 (1) 47 (2020)
https://doi.org/10.1111/biom.13122

Consistent Estimation of Generalized Linear Models with High Dimensional Predictors via Stepwise Regression

Alex Pijyan, Qi Zheng, Hyokyoung G. Hong and Yi Li
Entropy 22 (9) 965 (2020)
https://doi.org/10.3390/e22090965