Keith Knight
Statistics and Probability · 2000–2006
A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 173 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it; #218 of 12,932 by trust here, #358 by citations
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Keith Knight trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Julian Besag
- Michael R. Osborne
- Trevor J. Hastie
- Brett Presnell
- J. Levin
- Scott Shaobing Chen
- David L. Donoho
- Jerome H. Friedman
- Berwin A. Turlach
Who trusts Keith Knight overall
- Hansheng Wang
- Nicolai Meinshausen
- Jian Huang
- Jana Jankov'a
- Cun-Hui Zhang
- Peter Buhlmann
- Alexandre Belloni
- Sara A. van de Geer
- A. Chatterjee
- Francis R. Bach
Papers from Keith Knight's perspective
Ordered by how strongly the researchers Keith Knight trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Elements of Statistical Learning
- Atomic Decomposition by Basis Pursuit
- Asymptotics for lasso-type estimators
- Ideal spatial adaptation by wavelet shrinkage
- The Nature of Statistical Learning Theory
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Multicategory Support Vector Machines , Theory , and Application to the Classification of Microarray Data and Satellite Radiance Data
- 1-norm Support Vector Machines
Their papers
- Asymptotics for lasso-type estimators (2000) — 1,520 citations
- Sparsity and smoothness via the fused lasso (2005) — 2,988 citations
- Limiting Distributions of Linear Programming Estimators (2001) — 65 citations
- Quantile autoregression. Commentary (2006) — 193 citations
- Quantile models and estimators for data analysis (2002) — 63 citations