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
The Annals of Applied Statistics 14 (3), 1409-1431, 2020
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
Hedge funds and financial intermediaries
M Dahlquist, V Sokolovski, E Sverdrup
Swedish House of Finance Research Paper, 2021
What makes forest-based heterogeneous treatment effect estimators work?
S Dandl, C Haslinger, T Hothorn, H Seibold, E Sverdrup, S Wager, ...
The Annals of Applied Statistics 18 (1), 506-528, 2024
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
The GRF algorithm
J Tibshirani, S Athey, E Sverdrup, S Wager
Retrieved 2020-04-25, from https://github. com/grf-labs/grf, 2020
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
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 81 (2), 135-143, 2024
Qini Curves for Multi-Armed Treatment Rules
E Sverdrup, H Wu, S Athey, S Wager
arXiv preprint arXiv:2306.11979, 2023
Hedge Funds and Financial Intermediary Risk
M Dahlquist, S Rottke, V Sokolovski, E Sverdrup
Stockholm School of Economics Working Paper, 2022
Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records
NH Zainal, RM Bossarte, SM Gildea, I Hwang, CJ Kennedy, H Liu, ...
Molecular psychiatry, 1-11, 2024
Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability
YA de Vries, J Alonso, S Chatterji, P de Jonge, J Lokkerbol, JJ McGrath, ...
International Journal of Methods in Psychiatric Research 33 (1), e2003, 2024
Hedge Funds and Prime Broker Risk
M Dahlquist, S Rottke, V Sokolovski, E Sverdrup
Treatment heterogeneity with right-censored outcomes using grf
E Sverdrup, S Wager
arXiv e-prints, arXiv: 2312.02482, 2023
Proximal causal learning of conditional average treatment effects
E Sverdrup, Y Cui
International Conference on Machine Learning, 33285-33298, 2023
policytree: Policy learning via doubly robust empirical
E Sverdrup, A Kanodia, Z Zhou, S Athey, S Wager
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