Jana Jankov'a
Statistics and Probability · 2014–2016
A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 73 citations into it; #3,164 of 12,932 by trust here, #4,132 by citations
- Artificial Intelligence — 29 citations into it
- Computational Mechanics — 14 citations into it; #5,651 of 10,001 by trust here, #7,884 by citations
- Statistical Learning Theory — 14 citations into it
- Control and Systems Engineering — 7 citations into it
- Mathematical Optimization — 7 citations into it
- Applied Mathematics — 5 citations into it
Whom Jana Jankov'a trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ming Yuan
- Nicolai Meinshausen
- Adel Javanmard
- Alexandre Belloni
- Sara A. van de Geer
- Peter Buhlmann
- Robert Tibshirani
- Cun-Hui Zhang
- Keith Knight
- E.J. Candes
Who trusts Jana Jankov'a overall
- Valeriy Avanesov
- Victor Chernozhukov
- Sara A. van de Geer
- Yang Ning
- Nazar Buzun
- Whitney K. Newey
- Pragya Sur
- Han Liu
- Zhiqian Pang
- Rahul Singh
Papers from Jana Jankov'a's perspective
Ordered by how strongly the researchers Jana Jankov'a trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Asymptotics for lasso-type estimators
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- High-dimensional graphs and variable selection with the Lasso
- The Dantzig selector: Statistical estimation when P is much larger than n
- On Model Selection Consistency of Lasso
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- Atomic Decomposition by Basis Pursuit
- On the conditions used to prove oracle results for the Lasso
Their papers
- Honest confidence regions and optimality in high-dimensional precision matrix estimation (2015) — 80 citations
- Confidence intervals for high-dimensional inverse covariance estimation (2014) — 199 citations
- Confidence regions for high-dimensional generalized linear models under sparsity (2016) — 26 citations
- Semiparametric efficiency bounds for high-dimensional models (2016) — 48 citations