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.
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|
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|Publisher Web site:||http://www.statmod.org/workshops_archive_proceedings_2014.htm|
|Record Created:||06 Oct 2014 14:35|
|Last Modified:||06 Oct 2014 15:05|
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