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# Stephan Huckemann : Statistics for Non-Euclidean Data

This talk provides some fundamentals of statistical techniques for data on non-Euclidean spaces. Such data occur in the analysis of shape of geometrical objects, e.g. in applications studying biological growth. Naturally, shape is modeled on a manifold quotient (e.g. unit size objects) under a Lie group action (e.g. translations and rotations) which can be given a manifold structure, possibly with singularities. We show how this scenario allows for one and two sample tests as well as principal component analysis.

**Category**: Mathematical Biology**Duration**: 01:14:52**Date**: March 2, 2012 at 11:55 AM**Views**: 104-
**Tags:**seminar, Mathematical Biology Seminar

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