Eduardo Zilberman

Economics and Econometrics · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 23 citations into it
• Statistics and Probability — 18 citations into it
• Management Science and Operations Research — 13 citations into it
• Finance — 10 citations into it
• Artificial Intelligence — 6 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Eduardo Zilberman trusts overall

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

1. Hui Zou
2. Trevor J. Hastie
3. P. R. Hansen
4. M. Forni
5. Robert J. Shiller
6. Hal R. Varian
7. Sven Ove Hansson

Papers from Eduardo Zilberman's perspective

Ordered by how strongly the researchers Eduardo Zilberman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Addendum: Regularization and variable selection via the elastic net
2. The Adaptive Lasso and Its Oracle Properties
3. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. On Model Selection Consistency of Lasso
6. Random Forests
7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
8. Consistency of Random Forests
9. The Generalized Dynamic-Factor Model: Identification and Estimation
10. The generalized dynamic factor model: consistency and rates

Their papers

• Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods (2019) — 312 citations