A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation-Reference-Cited by-同舟云学术

A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation

Published:2023-09 Issue: Volume:8 Page:100267
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Xu Xiaojie,Zhang Yun

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference219 articles.

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2. Spatio-temporal analysis of residential housing, office property, and retail property price index correlations: Evidence from ten Chinese cities;Xu;Int. J. Real Estate Stud.,2023

3. Housing price spillovers in China: A high-dimensional generalized VAR approach;Yang;Reg. Sci. Urban Econ.,2018

4. Housing market spillovers through the lens of transaction volume: A new spillover index approach;Yang;J. Empir. Financ.,2021

5. Corn cash price forecasting;Xu;Am. J. Agric. Econom.,2020

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