Spatiotemporal patterns and prediction of multi-region house prices via functional mixed effects model
House prices have always been a popular indicator for real estate market monitoring. This study explores the spatiotemporal patterns of house prices at the community level in San Francisco from January 2009 to April 2024. A functional spatiotemporal semiparametric mixed effects (FST-SM) model was p...
Saved in:
| Main Authors: | Yilin Chen, Haitao Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2025-04-01
|
| Series: | International Journal of Strategic Property Management |
| Subjects: | |
| Online Access: | https://ijspm.vgtu.lt/index.php/IJSPM/article/view/23639 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detecting spatial and temporal house price diffusion in the Netherlands
by: Alfred Larm Teye, et al.
Published: (2018-12-01) -
Spatiotemporal Evolution and Influencing Factors of Residential Prices in Zhengzhou
by: Yafei Wang, et al.
Published: (2025-02-01) -
What Are the Pivotal Factors Influencing Housing Prices? A Spatiotemporal Dynamic Analysis Across Market Cycles from Upturn to Downturn in Wuhan
by: Tianchen Liu, et al.
Published: (2025-02-01) -
Housing Price Forecasting Using AI (LSTM)
by: Hossein Ziyadi, et al.
Published: (2023-12-01) -
Comparative Analysis of Advanced Models for Predicting Housing Prices: A Review
by: Inmaculada Moreno-Foronda, et al.
Published: (2025-01-01)