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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

Book
Publication Date:
2016
abstract:
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.
Iris type:
3.1 Monografia o trattato scientifico
List of contributors:
Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina
Authors of the University:
FONTANELLA Lara
IPPOLITI Luigi
Handle:
https://ricerca.unich.it/handle/11564/644537
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