dc.contributor.author | Mayer, Michael | |
dc.contributor.author | Bourassa, Steven C. | |
dc.contributor.author | Hoesli, Martin | |
dc.contributor.author | Scognamiglio, Donato | |
dc.date.accessioned | 2022-04-21T10:37:01Z | |
dc.date.available | 2022-04-21T10:37:01Z | |
dc.date.issued | 2022-04-20 | |
dc.identifier | 215286143 | |
dc.identifier | ecad8529-ed73-46d9-a17d-12c706ecb1f0 | |
dc.identifier | 85130528966 | |
dc.identifier.citation | Mayer , M , Bourassa , S C , Hoesli , M & Scognamiglio , D 2022 , ' Machine Learning Applications to Land and Structure Valuation ' , Journal of Risk and Financial Management , vol. 15 , no. 5 , 193 . https://doi.org/10.3390/jrfm15050193 | en |
dc.identifier.issn | 1911-8066 | |
dc.identifier.other | SCOPUS: 85130528966 | |
dc.identifier.other | ORCID: /0000-0003-2173-1200/work/147046580 | |
dc.identifier.uri | https://hdl.handle.net/2164/18462 | |
dc.description | Acknowledgments: We thank Nicola Stalder and his IAZI team for preparing the dataset for the Swiss case study. The authors are grateful to the referees, whose feedback and comments have improved the quality of the paper. | en |
dc.format.extent | 24 | |
dc.format.extent | 1633016 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Risk and Financial Management | en |
dc.subject | land and structure valuation | en |
dc.subject | machine learning | en |
dc.subject | structured additive regression | en |
dc.subject | gradient boosting | en |
dc.subject | deep learning | en |
dc.subject | interpretability | en |
dc.subject | transparency | en |
dc.subject | hedonic modeling | en |
dc.subject | HF5601 Accounting | en |
dc.subject.lcc | HF5601 | en |
dc.title | Machine Learning Applications to Land and Structure Valuation | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Accountancy | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.3390/jrfm15050193 | |