Investigating emergent nested geographic structure in consumer purchases: a Bayesian dynamic multi-scale spatiotemporal modeling approach

DOI10.1080/02664763.2020.1725810OpenAlexW3006163954MaRDI QIDQ5861522

Xia Wang, Joseph Pancras, Dey, Dipak K.

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1725810

zbMATH Keywords

clusteringMarkov chain Monte Carlo methodsdynamic linear modelsspatial modelsmulti-scale modelingempirical Bayes methods

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Multiscale modeling. A Bayesian perspective
• Dynamic Multiscale Spatiotemporal Models for Gaussian Areal Data
• Spatial models in marketing research and practice

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