Erik Sverdrup
Erik Sverdrup
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Cited by
Cited by
grf: Generalized Random Forests. R package version 2.0.2
J Tibshirani, S Athey, R Friedberg, V Hadad, D Hirshberg, L Miner, ...
URL, 2018
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Y Cui, MR Kosorok, E Sverdrup, S Wager, R Zhu
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
policytree: Policy learning via doubly robust empirical welfare maximization over trees
E Sverdrup, A Kanodia, Z Zhou, S Athey, S Wager
Journal of Open Source Software 5 (50), 2232, 2020
Doubly robust treatment effect estimation with missing attributes
I Mayer, E Sverdrup, T Gauss, JD Moyer, S Wager, J Josse
Hedge funds and financial intermediaries
M Dahlquist, V Sokolovski, E Sverdrup
Swedish House of Finance Research Paper, 2021
Treatment heterogeneity with survival outcomes
Y Xu, N Ignatiadis, E Sverdrup, S Fleming, S Wager, N Shah
Handbook of Matching and Weighting Adjustments for Causal Inference, 445-482, 2023
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
S Dandl, T Hothorn, H Seibold, E Sverdrup, S Wager, A Zeileis
arXiv preprint arXiv:2206.10323, 2022
Proximal Causal Learning of Heterogeneous Treatment Effects
E Sverdrup, Y Cui
arXiv preprint arXiv:2301.10913, 2023
Benchmark currency stochastic discount factors
P Orłowski, V Sokolovski, E Sverdrup
Available at SSRN 3945075, 2021
Hedge Funds and Financial Intermediary Risk
M Dahlquist, S Rottke, V Sokolovski, E Sverdrup
Stockholm School of Economics Working Paper, 2022
Low-intensity fires mitigate the risk of high-intensity wildfires in California’s forests
X Wu, E Sverdrup, MD Mastrandrea, MW Wara, S Wager
Science advances 9 (45), eadi4123, 2023
Estimated average treatment effect of psychiatric hospitalization in patients with suicidal behaviors: a precision treatment analysis
EL Ross, RM Bossarte, SK Dobscha, SM Gildea, I Hwang, CJ Kennedy, ...
JAMA psychiatry, 2023
Proximal causal learning of conditional average treatment effects
E Sverdrup, Y Cui
International Conference on Machine Learning, 33285-33298, 2023
Qini Curves for Multi-Armed Treatment Rules
E Sverdrup, H Wu, S Athey, S Wager
arXiv preprint arXiv:2306.11979, 2023
policytree: Policy learning via doubly robust empirical
E Sverdrup, A Kanodia, Z Zhou, S Athey, S Wager
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