Vira Semenova

Statistics and Probability · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 87 citations into it; #6,484 of 12,932 by trust here, #9,714 by citations
• Economics and Econometrics — 30 citations into it; #11,102 of 23,481 by trust here, #20,730 by citations
• Artificial Intelligence — 25 citations into it
• Causal Inference & Discovery — 21 citations into it; #340 of 364 by trust here, #361 by citations
• Applied Mathematics — 11 citations into it
• Management Science and Operations Research — 11 citations into it
• Marketing — 8 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Vira Semenova trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Victor Chernozhukov
2. Alexandre Belloni
3. Whitney K. Newey
4. D. Chetverikov
5. Susan Athey
6. Stefan Wager
7. Adel Javanmard
8. Jinyong Hahn
9. Kengo Kato
10. Sara A. van de Geer

Who trusts Vira Semenova overall

1. Susan Athey
2. Victor Chernozhukov
3. Francisco J. R. Ruiz
4. Qingliang Fan

Papers from Vira Semenova's perspective

Ordered by how strongly the researchers Vira Semenova trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. On asymptotically optimal confidence regions and tests for high-dimensional models
3. Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
5. Double/debiased machine learning for treatment and structural parameters
6. The asymptotic variance of semiparametric estimators
7. Efficient estimation of average treatment effects using the estimated propensity score
8. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
9. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
10. The Dantzig selector: Statistical estimation when P is much larger than n

Their papers

• Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions (2017) — 16 citations
• Orthogonal ML for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels∗ (2018)
• Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels (2017) — 50 citations
• Estimation and Inference about Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels. (2017) — 21 citations