Geometric Modeling in Probability and Statistics

Nonfiction, Science & Nature, Mathematics, Geometry, Statistics
Cover of the book Geometric Modeling in Probability and Statistics by Ovidiu Calin, Constantin Udrişte, Springer International Publishing
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Author: Ovidiu Calin, Constantin Udrişte ISBN: 9783319077796
Publisher: Springer International Publishing Publication: July 17, 2014
Imprint: Springer Language: English
Author: Ovidiu Calin, Constantin Udrişte
ISBN: 9783319077796
Publisher: Springer International Publishing
Publication: July 17, 2014
Imprint: Springer
Language: English

This book covers topics of Informational Geometry, a field which deals with the differential geometric study of the manifold probability density functions. This is a field that is increasingly attracting the interest of researchers from many different areas of science, including mathematics, statistics, geometry, computer science, signal processing, physics and neuroscience. It is the authors’ hope that the present book will be a valuable reference for researchers and graduate students in one of the aforementioned fields.

This textbook is a unified presentation of differential geometry and probability theory, and constitutes a text for a course directed at graduate or advanced undergraduate students interested in applications of differential geometry in probability and statistics. The book contains over 100 proposed exercises meant to help students deepen their understanding, and it is accompanied by software that is able toprovide numerical computations of several information geometric objects. The reader will understand a flourishing field of mathematics in which very few books have been written so far.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book covers topics of Informational Geometry, a field which deals with the differential geometric study of the manifold probability density functions. This is a field that is increasingly attracting the interest of researchers from many different areas of science, including mathematics, statistics, geometry, computer science, signal processing, physics and neuroscience. It is the authors’ hope that the present book will be a valuable reference for researchers and graduate students in one of the aforementioned fields.

This textbook is a unified presentation of differential geometry and probability theory, and constitutes a text for a course directed at graduate or advanced undergraduate students interested in applications of differential geometry in probability and statistics. The book contains over 100 proposed exercises meant to help students deepen their understanding, and it is accompanied by software that is able toprovide numerical computations of several information geometric objects. The reader will understand a flourishing field of mathematics in which very few books have been written so far.

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