Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
Takahiro Yoshida, Daisuke Murakami, Hajime Seya
| Year of publication: |
2024
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| Authors: | Yoshida, Takahiro ; Murakami, Daisuke ; Seya, Hajime |
| Published in: |
The journal of real estate finance and economics. - New York, NY [u.a.] : Springer Science + Business Media B.V., ISSN 1573-045X, ZDB-ID 2018867-5. - Vol. 69.2024, 1, p. 1-28
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| Subject: | Apartment Rent Price Prediction | Deep Neural Network (DNN) | Extreme Gradient Boosting (XGBoost) | Large Data | Nearest Neighbor Gaussian Processes (NNGP) | Random Forest (RF) | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Miete | Rent | Künstliche Intelligenz | Artificial intelligence | Hedonischer Preisindex | Hedonic price index | Immobilienpreis | Real estate price | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s11146-022-09929-6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015080932