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Random partition models and complementary clustering of Anglo-Saxon place-names
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Zanella, Giacomo (2015) Random partition models and complementary clustering of Anglo-Saxon place-names. The Annals of Applied Statistics, 9 (4). pp. 1792-1822. doi:10.1214/15-AOAS884
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Official URL: http://dx.doi.org/10.1214/15-AOAS884
Abstract
Common cluster models for multi-type point processes model the aggregation of points of the same type. In complete contrast, in the study of Anglo-Saxon settlements it is hypothesized that administrative clusters involving complementary names tend to appear. We investigate the evidence for such a hypothesis by developing a Bayesian Random Partition Model based on clusters formed by points of different types (complementary clustering).
As a result, we obtain an intractable posterior distribution on the space of matchings contained in a kk-partite hypergraph. We apply the Metropolis–Hastings (MH) algorithm to sample from this posterior. We consider the problem of choosing an efficient MH proposal distribution and we obtain consistent mixing improvements compared to the choices found in the literature. Simulated Tempering techniques can be used to overcome multimodality and a multiple proposal scheme is developed to allow for parallel programming. Finally, we discuss results arising from the careful use of convergence diagnostic techniques.
This allows us to study a data set including locations and place-names of 1316 Anglo-Saxon settlements dated approximately around 750–850 AD. Without strong prior knowledge, the model allows for explicit estimation of the number of clusters, the average intra-cluster dispersion and the level of interaction among place-names. The results support the hypothesis of organization of settlements into administrative clusters based on complementary names.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | P Language and Literature > P Philology. Linguistics | ||||||
| Divisions: | Faculty of Science > Statistics | ||||||
| Library of Congress Subject Headings (LCSH): | Names, English (Old), Document clustering | ||||||
| Journal or Publication Title: | The Annals of Applied Statistics | ||||||
| Publisher: | Institute of Mathematical Statistics | ||||||
| ISSN: | 1932-6157 | ||||||
| Official Date: | 2015 | ||||||
| Dates: |
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| Date of first compliant deposit: | 29 January 2016 | ||||||
| Volume: | 9 | ||||||
| Number: | 4 | ||||||
| Number of Pages: | 31 | ||||||
| Page Range: | pp. 1792-1822 | ||||||
| DOI: | 10.1214/15-AOAS884 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | EP/D002060/1 (EPSRC) |
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