4
H index
0
i10 index
22
Citations
Humboldt-Universität Berlin | 4 H index 0 i10 index 22 Citations RESEARCH PRODUCTION: 1 Articles 5 Papers RESEARCH ACTIVITY: 2 years (2019 - 2021). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pja608 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Daniel Jacob. | Is cited by: | Cites to: |
Working Papers Series with more than one paper published | # docs |
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Papers / arXiv.org | 3 |
IRTG 1792 Discussion Papers / Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series" | 2 |
Year | Title of citing document |
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2023 | . Full description at Econpapers || Download paper |
2023 | Stabilized direct learning for efficient estimation of individualized treatment rules. (2023). Fu, Haoda ; Shah, Kushal S ; Kosorok, Michael R. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:4:p:2843-2856. Full description at Econpapers || Download paper |
2024 | Improving uplift model evaluation on randomized controlled trial data. (2024). Lessmann, Stefan ; Bokelmann, Bjorn. In: European Journal of Operational Research. RePEc:eee:ejores:v:313:y:2024:i:2:p:691-707. Full description at Econpapers || Download paper |
2023 | Heterogeneous wage structure effects: a partial European East-West comparison. (2023). Vincze, Janos ; Takacs, Olga. In: CERS-IE WORKING PAPERS. RePEc:has:discpr:2305. Full description at Econpapers || Download paper |
2023 | The Design and Targeting of Compliance Promotions. (2023). Yao, Song ; Sprigg, Jim ; Mela, Carl F ; Daljord, Oystein. In: Marketing Science. RePEc:inm:ormksc:v:42:y:2023:i:5:p:866-891. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2020 | Group Average Treatment Effects for Observational Studies In: Papers. [Full Text][Citation analysis] | paper | 5 |
2021 | CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning In: Papers. [Full Text][Citation analysis] | paper | 7 |
2021 | Variable Selection for Causal Inference via Outcome-Adaptive Random Forest In: Papers. [Full Text][Citation analysis] | paper | 0 |
2021 | CATE meets ML In: Digital Finance. [Full Text][Citation analysis] | article | 4 |
2019 | Affordable Uplift: Supervised Randomization in Controlled Exprtiments In: IRTG 1792 Discussion Papers. [Full Text][Citation analysis] | paper | 2 |
2020 | Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects In: IRTG 1792 Discussion Papers. [Full Text][Citation analysis] | paper | 4 |
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