Bertrand S. Clarke

Statistics and Probability · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 72 citations into it; #6,293 of 12,932 by trust here, #3,255 by citations
• Artificial Intelligence — 45 citations into it; #20,814 of 35,345 by trust here, #17,110 by citations
• Statistical Learning Theory — 10 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Bertrand S. Clarke trusts overall

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

1. James O. Berger
2. H. Leeb
3. Subhashis Ghosal
4. Robert Tibshirani
5. Florentina Bunea
6. Hugh A. Chipman
7. Yuhong Yang
8. Peter J. Bickel
9. Gauri Sankar Datta
10. Larry A. Wasserman

Who trusts Bertrand S. Clarke overall

1. Nicholas G. Polson
2. Peter Foster
3. Stéphanie van der Pas
4. James G. Scott
5. Jim E. Griffin
6. Siddharth Sigtia
7. Thomas Rusch
8. Juho Piironen

Papers from Bertrand S. Clarke's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
3. Statistical Decision Theory and Bayesian Analysis, Second Edition
4. Estimating the Dimension of a Model
5. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
7. Model selection and estimation in regression with grouped variables
8. The horseshoe estimator for sparse signals
9. A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing
10. ImageNet classification with deep convolutional neural networks

Their papers

• Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction (2012) — 541 citations
• Principles and Theory for Data Mining and Machine Learning (2009) — 332 citations
• Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh (2008) — 48 citations