Mert Demirer
Statistics and Probability · 2016–2023
A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 143 citations into it; #1,696 of 12,932 by trust here, #720 by citations
- Economics and Econometrics — 45 citations into it; #20,059 of 23,481 by trust here, #19,308 by citations
- Artificial Intelligence — 43 citations into it; #15,758 of 35,345 by trust here, #14,181 by citations
- Causal Inference & Discovery — 26 citations into it; #134 of 364 by trust here, #73 by citations
- Statistical Learning Theory — 26 citations into it; #455 of 1,038 by trust here, #293 by citations
- Finance — 18 citations into it; #9,188 of 10,518 by trust here, #8,309 by citations
- Computational Mechanics — 12 citations into it
- Management Science and Operations Research — 10 citations into it
Whom Mert Demirer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Victor Chernozhukov
- Alexandre Belloni
- Guido W. Imbens
- Whitney K. Newey
- M. J. van der Laan
- Donald B. Rubin
- Christian Hansen
- Yannis Bilias
- Francis X. Diebold
- J. Poterba
Who trusts Mert Demirer overall
- Susan Athey
- Nathan Kallus
- Stefan Wager
- Victor Chernozhukov
- Edward H. Kennedy
- Gorkem Bostanci
- Iv'an D'iaz
- Whitney K. Newey
- David A. Hirshberg
- Guido W. Imbens
Papers from Mert Demirer's perspective
Ordered by how strongly the researchers Mert Demirer trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- On asymptotically optimal confidence regions and tests for high-dimensional models
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
- Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
- Recursive partitioning for heterogeneous causal effects
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Confidence intervals and hypothesis testing for high-dimensional regression
- Targeted Learning: Causal Inference for Observational and Experimental Data
Their papers
- Double/debiased machine learning for treatment and structural parameters (2017) — 3,836 citations
- Double machine learning for treatment and causal parameters (2016) — 200 citations
- Double/Debiased/Neyman Machine Learning of Treatment Effects (2017) — 415 citations
- Double/Debiased Machine Learning for Treatment and Causal Parameters (2016) — 158 citations
- Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments (2017) — 208 citations
- Estimating Global Bank Network Connectedness (2017) — 613 citations
- The Impact of AI on Developer Productivity: Evidence from GitHub Copilot (2023) — 697 citations