Random forest estimation of the ordered choice model M Lechner, G Okasa arXiv preprint arXiv:1907.02436, 2019 | 21 | 2019 |
Meta-learners for estimation of causal effects: Finite sample cross-fit performance G Okasa arXiv preprint arXiv:2201.12692, 2022 | 10 | 2022 |
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 | 7 | 2021 |
orf: Ordered Random Forests M Lechner, G Okasa CRAN R package version 0.1 3, 2019 | 3 | 2019 |
The Effect of Sport in Online Dating: Evidence from Causal Machine Learning D Boller, M Lechner, G Okasa arXiv preprint arXiv:2104.04601, 2021 | 2 | 2021 |
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 | 1 | 2024 |
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 | | |