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Math in the Black Forest: Workshop on New Directions in Shape Analysis

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arxiv 1811.01370 v1 pith:VDMLKA7X submitted 2018-11-04 math.DG

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keywords analysisshapeworkshopblackdirectionsforestgeometricmath
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These are the proceedings of the workshop "Math in the Black Forest", which brought together researchers in shape analysis to discuss promising new directions. Shape analysis is an inter-disciplinary area of research with theoretical foundations in infinite-dimensional Riemannian geometry, geometric statistics, and geometric stochastics, and with applications in medical imaging, evolutionary development, and fluid dynamics. The workshop is the 6th instance of a series of workshops on the same topic.

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    Introduces Riemannian AR(1) model on manifolds and proves SLLN for Fréchet means of dependent data to enable parameter estimation.

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