An extension of geographically weighted regression with flexible bandwidths

By Wen-bin Yang. 2014

68 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9a617037808f0decb71bdd22b055c0788b420402

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Daisuke Murakami
2. Takahiro Yoshida
3. Hajime Seya
4. Y. Yamagata
5. Daniel A. Griffith
6. Stéphane Dray
7. Yongwan Chun
8. Luc Anselin

Citations in the corpus

• A Moran coefficient-based mixed effects approach to investigate spatially varying relationships (2016, methodology): “ The limitations of regularized GWR models are its bias in coefficient estimates, just like conventional ridge and/or lasso regression. With regard to the second problem concerning uniform smoothers, Yang et al. (2014) and Lu et al. (2015) attempted to overcome this limitation. The Bayesian spatiall”