B. M. Potscher

Statistics and Probability · 2004–2014

A researcher in the Science corpus: 8 papers; trusts 37 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 69 citations into it; #761 of 12,932 by trust here, #741 by citations
• Optimization & Training — 14 citations into it
• Artificial Intelligence — 12 citations into it; #14,356 of 35,345 by trust here, #18,586 by citations
• Statistical Learning Theory — 12 citations into it
• Control and Systems Engineering — 11 citations into it; #340 of 8,257 by trust here, #405 by citations
• Applied Mathematics — 9 citations into it; #2,436 of 7,620 by trust here, #3,258 by citations
• Economics and Econometrics — 9 citations into it; #11,696 of 23,481 by trust here, #20,730 by citations
• Numerical Analysis — 6 citations into it; #971 of 3,586 by trust here, #1,372 by citations

Whom B. M. Potscher trusts overall

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

1. Jianqing Fan
2. Robert Tibshirani
3. Hui Zou
4. Runze Li
5. H. Leeb
6. Hansheng Wang
7. Trevor J. Hastie
8. Jerome H. Friedman
9. Yuhong Yang
10. Keith Knight

Who trusts B. M. Potscher overall

1. L. Wolstenholme
2. Richard A. Berk
3. Qiying Wang
4. Richard Nickl
5. H. Leeb
6. Donald W. K. Andrews
7. A. Chatterjee
8. Anders Bredahl Kock
9. Paul Kabaila
10. Patrik Guggenberger

Papers from B. M. Potscher's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Asymptotics for lasso-type estimators
3. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
4. The Adaptive Lasso and Its Oracle Properties
5. Ideal spatial adaptation by wavelet shrinkage
6. Model selection and estimation in regression with grouped variables
7. Addendum: Regularization and variable selection via the elastic net
8. A Statistical View of Some Chemometrics Regression Tools
9. Estimating the Dimension of a Model
10. On Model Selection Consistency of Lasso

Their papers

• MODEL SELECTION AND INFERENCE: FACTS AND FICTION (2005) — 712 citations
• Valid confidence intervals for post-model-selection predictors (2014) — 57 citations
• On the distribution of the adaptive LASSO estimator (2008) — 83 citations
• PERFORMANCE LIMITS FOR ESTIMATORS OF THE RISK OR DISTRIBUTION OF SHRINKAGE-TYPE ESTIMATORS, AND SOME GENERAL LOWER RISK-BOUND RESULTS (2005) — 59 citations
• On various confidence intervals post-model-selection (2014) — 60 citations
• Confidence sets based on penalized maximum likelihood estimators in Gaussian regression (2008) — 53 citations
• NONLINEAR FUNCTIONS AND CONVERGENCE TO BROWNIAN MOTION: BEYOND THE CONTINUOUS MAPPING THEOREM (2004) — 57 citations
• Bracketing Metric Entropy Rates and Empirical Central Limit Theorems for Function Classes of Besov- and Sobolev-Type (2007) — 117 citations