E. Guerre
Statistics and Probability · 2000–2019
A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 59 citations into it; #3,704 of 12,932 by trust here, #6,310 by citations
- Economics and Econometrics — 40 citations into it; #14,257 of 23,481 by trust here, #16,755 by citations
- Management Science and Operations Research — 26 citations into it; #1,201 of 11,946 by trust here, #2,065 by citations
- Marketing — 21 citations into it; #539 of 6,289 by trust here, #1,607 by citations
- Finance — 12 citations into it; #6,561 of 10,518 by trust here, #7,920 by citations
- Statistical Learning Theory — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Safety Research — 6 citations into it; #4,013 of 5,829 by trust here, #5,214 by citations
Whom E. Guerre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. Stone
- Victor Chernozhukov
- Y. Baraud
- I. Perrigne
- Joel L. Horowitz
- Hirotogu Akaike
- Whitney K. Newey
- Tong Li
- Pascal Massart
- Q. Vuong
Who trusts E. Guerre overall
- P. Lavergne
- S. Lee
- S. Campo
- Elena Krasnokutskaya
- Martin Pesendorfer
- Wenceslao González-Manteiga
- John Asker
- J. Marion
- I. Perrigne
- Yao Luo
Papers from E. Guerre's perspective
Ordered by how strongly the researchers E. Guerre trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Global Rates of Convergence for Nonparametric Regression
- Estimating the Dimension of a Model
- An IV Model of Quantile Treatment Effects
- Regression Shrinkage and Selection via the Lasso
- Identification in Nonseparable Models
- Estimation and Confidence Regions for Parameter Sets in Econometric Models
- An Adaptive, Rate-Optimal Test of a Parametric Mean-Regression Model Against a Nonparametric Alternative
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Optimal Nonparametric Estimation of First-price Auctions
- Information Theory and an Extension of the Maximum Likelihood Principle
Their papers
- UNIFORM BIAS STUDY AND BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATORS OF THE CONDITIONAL QUANTILE FUNCTION (2011) — 84 citations
- Data-Driven Rate-Optimal Specification Testing in Regression Models (2005) — 89 citations
- Optimal Nonparametric Estimation of First-price Auctions (2000) — 869 citations
- Adaptive consistent unit-root tests based on autoregressive threshold model (2008) — 55 citations
- Semiparametric Estimation of First-Price Auctions with Risk Averse Bidders* (2011) — 177 citations
- Nonparametric Identification of Risk Aversion in First‐Price Auctions Under Exclusion Restrictions (2009) — 171 citations
- Smoothing Quantile Regressions (2019) — 128 citations
- OPTIMAL MINIMAX RATES FOR NONPARAMETRIC SPECIFICATION TESTING IN REGRESSION MODELS (2002) — 57 citations