Publication detailsTsiftsi, Thomai, Jermyn, Ian & Einbeck, Jochen (2014), Bayesian shape modelling of cross-sectional geological data, in Kneib, Thomas, Sobotka, Fabian, Fahrenholz, Jan & Irmer, Henriette eds, II: 29th International Workshop on Statistical Modelling. Göttingen, University of Göttingen, GÃ¶ttingen, 161-164.
- Publication type: Conference Paper
- Keywords: Shape analysis; classification; estimation; EM algorithm.
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Author(s) from Durham
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.