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Special Issue Editors Frédéric Barbaresco Frank Nielsen Thales Air Systems École Polytechnique France France Sony Computer Science Laboratories Inc Japan Editorial Office MDPI AG St. Alban-Anlage 66 Basel, Switzerland This edition is a reprint of the Special Issue published online in the open access journal Entropy (ISSN 1099-4300) from 2016–2017 (available at: http://www.mdpi.com/journal/entropy/special_issues/entropy-statistics). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: Author 1; Author 2; Author 3 etc. Article title. Journal Name. Year. Article number/page range. ISBN 978-3-03842-424-6 (Pbk) ISBN 978-3-03842-425-3 (PDF) Articles in this volume are Open Access and distributed under the Creative Commons Attribution license (CC BY), which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book taken as a whole is © 2017 MDPI, Basel, Switzerland, distributed under the terms and conditions of the Creative Commons license CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Differential Geometrical Theory of Statistics
Titel
Differential Geometrical Theory of Statistics
Autoren
Frédéric Barbaresco
Frank Nielsen
Herausgeber
MDPI
Ort
Basel
Datum
2017
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Abmessungen
17.0 x 24.4 cm
Seiten
476
Schlagwörter
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
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Differential Geometrical Theory of Statistics