Laura Freijeiro-González

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 45 citations into it
• Artificial Intelligence — 22 citations into it
• Computational Mechanics — 11 citations into it
• Statistical Learning Theory — 10 citations into it
• Control and Systems Engineering — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Laura Freijeiro-González trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Tibshirani
2. Nicolai Meinshausen
3. Trevor J. Hastie
4. E.J. Candes
5. Ming Yuan
6. Hui Zou
7. Jerome H. Friedman
8. Christophe Giraud
9. David L. Donoho
10. Peter Buhlmann

Papers from Laura Freijeiro-González's perspective

Ordered by how strongly the researchers Laura Freijeiro-González trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. High-dimensional graphs and variable selection with the Lasso
3. Model selection and estimation in regression with grouped variables
4. The Adaptive Lasso and Its Oracle Properties
5. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
6. On Model Selection Consistency of Lasso
7. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
8. Atomic Decomposition by Basis Pursuit
9. The Dantzig selector: Statistical estimation when P is much larger than n
10. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

Their papers

• A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates (2020) — 129 citations