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Machine Learning and Data-Driven Approaches in Spatial Statistics: A Case Study of Housing Price Estimation

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  • Sarah Soleiman

    (SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) - UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Julien Randon-Furling

    (SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) - UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Marie Cottrell

    (SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) - UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

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Suggested Citation

  • Sarah Soleiman & Julien Randon-Furling & Marie Cottrell, 2022. "Machine Learning and Data-Driven Approaches in Spatial Statistics: A Case Study of Housing Price Estimation," Post-Print hal-03900972, HAL.
    • Handle: RePEc:hal:journl:hal-03900972
    DOI: 10.1007/978-3-031-15444-7_4
    Note: View the original document on HAL open archive server: https://hal.science/hal-03900972
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    References listed on IDEAS

    as
    1. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
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