Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach

Spatial data not only enables smart cities to visualize, analyze, and interpret data related to location and space, but also helps departments make more informed decisions. We apply a Bayesian quantile regression (BQR) of the partially linear varying coefficient spatial autoregressive (PLVCSAR) mode...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Rongshang Chen, Zhiyong Chen
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2025-07-01
Цуврал:	Entropy
Нөхцлүүд:	spatial autoregressive models partially linear varying coefficient quantile regression Markov chain Monte Carlo approach Gibbs sampling
Онлайн хандалт:	https://www.mdpi.com/1099-4300/27/7/715
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!