Combinatorial Inference in Geometric Data Analysis

Brigitte (MAP5 - Universite Paris Descartes, France) Le Roux, Jean-Luc (Universite Paris 13, Villetaneuse, France) Durand, Solene (Coheris Spad, Suresnes, France) Bienaise

Taylor & Francis Inc, 2019

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Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework.

ISBN-13
9781498781619
ISBN-10
1498781616
Publisher
Taylor & Francis Inc
Year
2019
Publication date
2019-02-22
Pages
256
Dimensions
164x242x16
Weight
554