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Original Articles

Structure identification and variable selection in geographically weighted regression models

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Pages 2050-2068 | Received 02 Jan 2017, Accepted 23 Mar 2017, Published online: 10 Apr 2017

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Read on this site (3)

Zhi Zhang, Chang-Lin Mei & Hua-Yi Yu. (2023) Estimation and Inference of Special Types of the Coefficients in Geographically and Temporally Weighted Regression Models. Annals of the American Association of Geographers 113:1, pages 71-93.
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Si-Lian Shen, Jian-Ling Cui & Xin-Qian Wu. (2021) A simple test for spatial heteroscedasticity in spatially varying coefficient models. Journal of Statistical Computation and Simulation 91:8, pages 1580-1592.
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Ghanim Al-Hasani, Md Asaduzzaman & Abdel-Hamid Soliman. (2021) Geographically weighted Poisson regression models with different kernels: Application to road traffic accident data. Communications in Statistics: Case Studies, Data Analysis and Applications 7:2, pages 166-181.
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Articles from other publishers (5)

Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari & Uno Due. (2022) Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy. Geospatial Health 17:2.
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Kent Marett & Misty Nabors. (2021) Local learning from municipal ransomware attacks: A geographically weighted analysis. Information & Management 58:7, pages 103482.
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Yang Yang. 2020. Statistical Methods for Global Health and Epidemiology. Statistical Methods for Global Health and Epidemiology 281 320 .
Alexis Comber & Paul Harris. (2018) Geographically weighted elastic net logistic regression. Journal of Geographical Systems 20:4, pages 317-341.
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Wentao Wang, Shoufang Xu & Tianshun Yan. (2018) Structure identification and model selection in geographically weighted quantile regression models. Spatial Statistics 26, pages 21-37.
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