Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

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This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the ...

Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications 2016, Springer

ISBN-13: 9783319263106

2016 edition

Trade paperback

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