Igor Sadoune, Marcelin Joanis
and Andrea Lodi
Article (2024)
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| Department: | Department of Mathematics and Industrial Engineering |
| Research Center: | CIRANO - Center for Interuniversity Research and Analysis of Organizations |
| Funders: | Meta Research |
| PolyPublie URL: | https://publications.polymtl.ca/59757/ |
| Journal Title: | Computational Economics (vol. 65) |
| Publisher: | Springer Science+Business Media |
| DOI: | 10.1007/s10614-024-10622-4 |
| Official URL: | https://doi.org/10.1007/s10614-024-10622-4 |
| Date Deposited: | 19 Nov 2024 11:21 |
| Last Modified: | 15 Dec 2025 15:48 |
| Cite in APA 7: | Sadoune, I., Joanis, M., & Lodi, A. (2024). Implementing a hierarchical deep learning approach for simulating multilevel auction data. Computational Economics, 65, 2029-2056. https://doi.org/10.1007/s10614-024-10622-4 |
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