Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches

DOI10.1007/S10479-020-03556-1zbMath1478.62366OpenAlexW3008839539MaRDI QIDQ2070704

Michalis Doumpos, Dimitrios Papastamos, Dimitrios Andritsos, Constantin Zopounidis

Publication date: 24 January 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-020-03556-1

zbMATH Keywords

nonparametric regressionreal estateautomated valuation models

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) General nonlinear regression (62J02) Spatial models in economics (91B72)

Related Items (1)

Real estate price estimation in French cities using geocoding and machine learning

Cites Work

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• Bagging predictors
• Valuating residential real estate using parametric programming
• The normalized interval regression model with outlier detection and its real-world application to house pricing problems
• A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions
• Random forests

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