Eitan Greenshtein

Statistics and Probability · 2004–2010

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 84 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #484 of 12,932 by trust here, #1,026 by citations
• Statistical Learning Theory — 6 citations into it
• Optimization & Training — 6 citations into it
• Artificial Intelligence — 5 citations into it; #2,327 of 35,345 by trust here, #6,422 by citations

Whom Eitan Greenshtein trusts overall

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

1. Jianqing Fan
2. Robert Tibshirani
3. David L. Donoho
4. David Ruppert
5. Bradley Efron
6. Cun-Hui Zhang
7. David Madigan
8. Iain M. Johnstone
9. Runze Li
10. Wenhua Jiang

Who trusts Eitan Greenshtein overall

1. Cun-Hui Zhang
2. Jianqing Fan
3. Peter Buhlmann
4. Nicolai Meinshausen
5. Shahar Mendelson
6. E.J. Candes
7. Sivaraman Balakrishnan
8. Sara A. van de Geer
9. Yuval Nardi
10. Yingying Fan

Papers from Eitan Greenshtein's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Ideal spatial adaptation by wavelet shrinkage
3. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
4. Estimating the Dimension of a Model
5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
6. [Least Angle Regression]: Discussion
7. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
8. Atomic Decomposition by Basis Pursuit
9. Model selection and estimation in regression with grouped variables
10. High-dimensional graphs and variable selection with the Lasso

Their papers

• Persistence in high-dimensional linear predictor selection and the virtue of overparametrization (2004) — 379 citations
• Best subset selection, persistence in high-dimensional statistical learning and optimization under l1 constraint (2006) — 113 citations
• NONPARAMETRIC EMPIRICAL BAYES AND COMPOUND DECISION APPROACHES TO ESTIMATION OF A HIGH-DIMENSIONAL VECTOR OF NORMAL MEANS (2009) — 164 citations
• The Poisson Compound Decision Problem Revisited (2010) — 52 citations
• Sure independence screening for ultrahigh dimensional feature space Discussion (2008) — 358 citations