Erik Sverdrup
Erik Sverdrup
Postdoc, Stanford University Graduate School of Business
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
112020
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
82020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Y Cui, MR Kosorok, E Sverdrup, S Wager, R Zhu
arXiv preprint arXiv:2001.09887, 2020
72020
Hedge funds and financial intermediaries
M Dahlquist, V Sokolovski, E Sverdrup
Swedish House of Finance Research Paper, 2019
52019
Package ‘grf’
J Tibshirani, S Athey, R Friedberg, V Hadad, D Hirshberg, L Miner, ...
Récupéré sur Comprehensive R Archive Network: https://cran. rproject. org …, 2018
42018
Grf: Generalized Random Forests (version 1.2. 0). R
J Tibshirani, S Athey, R Friedberg, V Hadad, D Hirshberg, L Miner, ...
22020
Doubly robust treatment effect estimation with missing attributes Open Website
I Mayer, E Sverdrup, T Gauss, JD Moyer, S Wager, J Josse
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