Heterogeneous Regression Models for Clusters of Spatial Dependent Data

• Tác giả: Guanyu Hu, Zhihua Ma, Yishu Xue
• Ngôn ngữ: eng
• Ký hiệu phân loại: 688.1 Models and miniatures
• Thông tin xuất bản: 2019
• Bộ sưu tập: Báo, Tạp chí
• ID: 163074

Tóm tắt

In economic development, there are often regions that share similar economic characteristics, and economic models on such regions tend to have similar covariate effects. In this paper, we propose a Bayesian clustered regression for spatially dependent data in order to detect clusters in the covariate effects. Our proposed method is based on the Dirichlet process which provides a probabilistic framework for simultaneous inference of the number of clusters and the clustering configurations. The usage of our method is illustrated both in simulation studies and an application to a housing cost dataset of Georgia.