F. Bachoc
Statistics and Probability · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 39 citations into it; #5,543 of 12,932 by trust here, #7,508 by citations
- Control and Systems Engineering — 11 citations into it; #4,925 of 8,257 by trust here, #6,417 by citations
- Artificial Intelligence — 9 citations into it
- Statistical Learning Theory — 5 citations into it
Whom F. Bachoc trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Leeb
- Robert Tibshirani
- Cun-Hui Zhang
- Jonathan E. Taylor
- Bradley Efron
- Philippe Huber
- Jason D. Lee
- Trevor J. Hastie
- Jianqing Fan
- Richard A. Berk
Who trusts F. Bachoc overall
- Daniel Garcia Rasines
- Alessandro Rinaldo
- G. Alastair Young
- Larry A. Wasserman
- M. G'Sell
- Robert Tibshirani
- Jing Lei
- Arun K. Kuchibhotla
Papers from F. Bachoc's perspective
Ordered by how strongly the researchers F. Bachoc trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- Asymptotics for lasso-type estimators
- CAN ONE ESTIMATE THE UNCONDITIONAL DISTRIBUTION OF POST-MODEL-SELECTION ESTIMATORS? (Econometric Theory)
- © Institute of Mathematical Statistics, 2009 HIGH-DIMENSIONAL VARIABLE SELECTION BY LARRY WASSERMAN AND KATHRYN ROEDER 1
- Valid post-selection inference
- Addendum: Regularization and variable selection via the elastic net
- MODEL SELECTION AND INFERENCE: FACTS AND FICTION (Econometric Theory)
- On Model Selection Consistency of Lasso
Their papers
- Valid confidence intervals for post-model-selection predictors (2014) — 57 citations
- Uniformly valid confidence intervals post-model-selection (2016) — 53 citations