Rodrigo Malacarne
The SAGE Encyclopedia of Research Design · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 18 researchers here, as inferred from the citation graph.
Whom Rodrigo Malacarne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rodrigo Malacarne overall
- Zhimeng Zhang
- Wei-Cheng Tseng
- Yang Li
- Y. Li
- Wenming Zheng
- Lincheng Li
- Yuan Zong
- Chien-yu Huang
- Lei Wang
- Yu Ding
Papers from Rodrigo Malacarne's perspective
Ordered by how strongly the researchers Rodrigo Malacarne trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning
- Regression Shrinkage and Selection via the Lasso
- Bagging Predictors
- The Nature of Statistical Learning Theory
- Addendum: Regularization and variable selection via the elastic net
- Model selection and estimation in regression with grouped variables
- Ideal spatial adaptation by wavelet shrinkage
- High-dimensional graphs and variable selection with the Lasso
- [A Statistical View of Some Chemometrics Regression Tools]: Discussion
- Sure independence screening for ultrahigh dimensional feature space
Their papers
- Canonical Correlation Analysis (2022) — 440 citations