Bayesian shape modelling of cross-sectional geological data
arXiv:1802.09631
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.
4 pages, 1 figure, In proceedings 29th International Workshop on Statistical Modelling, 14-18 July 2014, Gottingen, Germany. Amsterdam: Statistical Modelling Society, pp. 161-164