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Gabriel Okasa
Gabriel Okasa
Data Scientist, Swiss National Science Foundation
Bestätigte E-Mail-Adresse bei snf.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Random forest estimation of the ordered choice model
M Lechner, G Okasa
arXiv preprint arXiv:1907.02436, 2019
212019
Meta-learners for estimation of causal effects: Finite sample cross-fit performance
G Okasa
arXiv preprint arXiv:2201.12692, 2022
102022
Predicting match outcomes in football by an ordered forest estimator
D Goller, MC Knaus, M Lechner, G Okasa
A modern guide to sports economics, 335-355, 2021
72021
orf: Ordered Random Forests
M Lechner, G Okasa
CRAN R package version 0.1 3, 2019
32019
The Effect of Sport in Online Dating: Evidence from Causal Machine Learning
D Boller, M Lechner, G Okasa
arXiv preprint arXiv:2104.04601, 2021
22021
The Value of Pre-training for Scientific Text Similarity: Evidence from Matching Grant Proposals to Reviewers
G Okasa, A Jorstad
Proceedings of the 9th edition of the Swiss Text Analytics Conference, 89-101, 2024
12024
A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports
G Okasa, A de León, M Strinzel, A Jorstad, K Milzow, M Egger, S Müller
arXiv preprint arXiv:2411.16662, 2024
2024
The Effects of Sports on Online Dating: Evidence from Causal
M Lechner, D Boller, G Okasa
2023
Sample Fit Reliability
G Okasa, KA Younge
arXiv preprint arXiv:2209.06631, 2022
2022
Essays in Predictive and Causal Machine Learning
G Okasa
University of St. Gallen, 2022
2022
Random Sample Reliability
G Okasa, KA Younge
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