Ali Charkhi
Statistics and Probability · 2018
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 20 citations into it
Whom Ali Charkhi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bradley Efron
- Q. Vuong
- Hirotogu Akaike
- Alexandre Belloni
- Victor Chernozhukov
- H. Leeb
- Hirotugu Akaike
- Gerda Claeskens
- Robert Tibshirani
- Nils Lid Hjort
Papers from Ali Charkhi's perspective
Ordered by how strongly the researchers Ali Charkhi trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory and an Extension of the Maximum Likelihood Principle
- Estimation and Accuracy after Model Selection
- Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Regression Shrinkage and Selection via the Lasso
- Goodness of Fit via Non‐parametric Likelihood Ratios
- Asymptotics for lasso-type estimators
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- © Institute of Mathematical Statistics, 2009 HIGH-DIMENSIONAL VARIABLE SELECTION BY LARRY WASSERMAN AND KATHRYN ROEDER 1
- On Model Selection Consistency of Lasso
Their papers
- Asymptotic post‐selection inference for the Akaike information criterion (2018) — 48 citations