A regularized spatial market segmentation method with Dirichlet process—Gaussian mixture prior

W Chang, S Kim, H Chae - Spatial Statistics, 2020 - Elsevier
Spatially referenced data are increasingly available thanks to the development of modern
GPS technology. They also provide rich opportunities for spatial analytics in the field of
marketing science. Our main interest is to propose a new efficient statistical framework to
conduct spatial segmentation analysis for restaurants located in a metropolitan area in the
US The spatial segmentation problem poses important statistical challenges: selecting the
optimal number of underlying structures of market segments, capturing complex and flexible …
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