Weighted likelihood transfer learning for high-dimensional generalized linear models
From MaRDI portal
Publication:6618198
DOI10.1080/02331888.2024.2361861MaRDI QIDQ6618198
Publication date: 14 October 2024
Published in: Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Transfer Learning under High-dimensional Generalized Linear Models
- The Adaptive Lasso and Its Oracle Properties
- A general theory of hypothesis tests and confidence regions for sparse high dimensional models
- Statistics for high-dimensional data. Methods, theory and applications.
- Exponential family nonlinear models
- Semiparametric efficiency bounds for high-dimensional models
- Nonparametric and semiparametric models.
- Adaptive transfer learning
- Adaptive robust variable selection
- Transfer learning for nonparametric classification: minimax rate and adaptive classifier
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Asymptotic Statistics
- Estimation and Accuracy After Model Selection
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers
- Individualized Group Learning
- Targeting underrepresented populations in precision medicine: a federated transfer learning approach
This page was built for publication: Weighted likelihood transfer learning for high-dimensional generalized linear models