Simultaneous subgroup identification and variable selection for high dimensional data
From MaRDI portal
Publication:6661262
DOI10.1007/s00180-023-01436-3MaRDI QIDQ6661262
Huicong Yu, Jia-qi Wu, Weiping Zhang
Publication date: 13 January 2025
Published in: Computational Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Random lasso
- Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients
- Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
- Simultaneous supervised clustering and feature selection over a graph
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Likelihood-Based Selection and Sharp Parameter Estimation
- A new approach of subgroup identification for high-dimensional longitudinal data
- Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion
- Regularization and Variable Selection Via the Elastic Net
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
- Model Selection and Estimation in Regression with Grouped Variables
- Regression‐based heterogeneity analysis to identify overlapping subgroup structure in high‐dimensional data
- Multithreshold change plane model: estimation theory and applications in subgroup identification
- A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data
- Exploration of heterogeneous treatment effects via concave fusion
This page was built for publication: Simultaneous subgroup identification and variable selection for high dimensional data