Tsiftsi, Thomai and Jermyn, Ian and Einbeck, Jochen (2014) 'Bayesian shape modelling of cross-sectional geological data.', in 29th International Workshop on Statistical Modelling, 14-18 July 2014, Göttingen, Germany ; proceedings. Amsterdam: Statistical Modelling Society, pp. 161-164.
Abstract
Shape information is of great importance in many applications. For example, the oil-bearing capacity of sand bodies, the subterranean remnants of ancient rivers, is related to their cross-sectional shapes. The analysis of these shapes is therefore of some interest, but current classifications are simplistic and ad hoc. In this paper, we describe the first steps towards a coherent statistical analysis of these shapes by deriving the integrated likelihood for data shapes given class parameters. The result is of interest beyond this particular application.
| Item Type: | Book chapter |
|---|---|
| Keywords: | Shape analysis, Classification, Estimation, EM algorithm. |
| Full text: | (AM) Accepted Manuscript Download PDF (215Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | http://www.statmod.org/workshops_archive_proceedings_2014.htm |
| Date accepted: | No date available |
| Date deposited: | 06 October 2014 |
| Date of first online publication: | July 2014 |
| Date first made open access: | No date available |
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