Kai Deng
Statistics and Probability · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 5 citations into it
Whom Kai Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kai Deng's perspective
Ordered by how strongly the researchers Kai Deng trusts endorse each paper. Same corpus, a different order for every researcher.
- The Adaptive Lasso and Its Oracle Properties
- Composite quantile regression and the oracle Model Selection Theory
- Extended Bayesian information criteria for model selection with large model spaces
- Regression Shrinkage and Selection via the Lasso
- High-dimensional graphs and variable selection with the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Ideal spatial adaptation by wavelet shrinkage
- Model selection and estimation in regression with grouped variables
- Addendum: Regularization and variable selection via the elastic net
- [Least Angle Regression]: Discussion
Their papers
- Composite quantile regression neural network with applications (2017) — 98 citations