Jelena Bradic
Statistics and Probability · 2016–2017
A researcher in the Science corpus: 4 papers; trusts 90 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 105 citations into it; #3,667 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 34 citations into it; #12,067 of 35,345 by trust here, #25,809 by citations
- Computational Mechanics — 23 citations into it; #2,979 of 10,001 by trust here, #6,582 by citations
- Statistical Learning Theory — 22 citations into it
- Scaling & Learning Theory — 10 citations into it
- Control and Systems Engineering — 9 citations into it
- Finance — 9 citations into it
- Applied Mathematics — 8 citations into it
Whom Jelena Bradic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandre Belloni
- Victor Chernozhukov
- Jianqing Fan
- Cun-Hui Zhang
- Adel Javanmard
- Sara A. van de Geer
- Robert Tibshirani
- E.J. Candes
- Martin J. Wainwright
- Tommaso Cai
Who trusts Jelena Bradic overall
- Victor Chernozhukov
- Whitney K. Newey
- Susan Athey
- Yinchu Zhu
- Christian Hansen
- James M. Robins
- Rahul Singh
- Guido W. Imbens
- Pragya Sur
- Stefan Wager
Papers from Jelena Bradic's perspective
Ordered by how strongly the researchers Jelena Bradic trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Dantzig selector: Statistical estimation when P is much larger than n
- On Model Selection Consistency of Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- ImageNet classification with deep convolutional neural networks
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- The Adaptive Lasso and Its Oracle Properties
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Model selection and estimation in regression with grouped variables
- Sure independence screening for ultrahigh dimensional feature space
Their papers
- Linear Hypothesis Testing in Dense High-Dimensional Linear Models (2016) — 88 citations
- Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores (2017) — 28 citations
- Breaking the curse of dimensionality in regression (2017) — 19 citations
- : "Statistical Modeling: The Two Cultures" (Statistical Science, 2001, 16(3), 199-231)