Backfitting Estimation for Geographically Weighted Regression Models with Spatial Autocorrelation in the Response-Reference-Cited by-同舟云学术

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Backfitting Estimation for Geographically Weighted Regression Models with Spatial Autocorrelation in the Response

Published:2021-04-13 Issue: Volume: Page:
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr Anal

Author:

Chen Feng¹²,Leung Yee²,Mei Chang‐Lin³,Fung Tung²

Affiliation:

1. Department of Statistics, School of Mathematics and Statistics Xi'an Jiaotong University Xi'an China

2. Institute of Future Cities Department of Geography and Resource Management The Chinese University of Hong Kong Shatin, Hong Kong China

3. School of Science Xi'an Polytechnic University Xi'an China

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12289

Reference45 articles.

1. Parallel eigenvalue calculation based on multiple shift–invert Lanczos and contour integral based spectral projection method

2. Testing for Strategic Interaction Among Local Governments: The Case of Growth Controls

3. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

4. Spatial Nonstationarity and Autoregressive Models

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1. Higher-order spatial autoregressive varying coefficient model: estimation and specification test;TEST;2024-08-26

2. A backfitting maximum likelihood estimator for hierarchical and geographically weighted regression modelling, with a case study of house prices in Beijing;International Journal of Geographical Information Science;2024-08-21

3. Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model;Spatial Statistics;2024-08

4. Speeding up estimation of spatially varying coefficients models;Journal of Geographical Systems;2024-07

5. Measuring the Unmeasurable: Models of Geographical Context;Annals of the American Association of Geographers;2023-08-07

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