Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page

Seongil Jo and Jaeyong Lee ()
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Seongil Jo: Chonbuk National University
Jaeyong Lee: Seoul National University

Statistical Methods & Applications, 2018, vol. 27, issue 2, No 4, 227-230

Abstract: Abstract The article by Müller, Quintana, and Page reviews a variety of Bayesian nonparametric models and demonstrates them in a few applications. They emphasize applications in spatial data on which our discussion focuses as well. In particular, we consider two types of mixture models based on species sampling models (SSM) for spatial clustering and apply them to the Chilean mathematics testing score data analyzed by the authors. We conclude that only the mixture model of SSM with spatial locations as part of observations renders spatially non-overlapping clusters.

Keywords: Spatial clustering; Spatial correlation structure; Species sampling mixture models (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10260-017-0396-9

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