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Sinopsis
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 to provide 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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De la contraportada
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 to provide 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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Geometric modeling in probability and statistics - Ovidiu Calin
Librería: ChouetteCoop, Kervignac, Francia
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Geometric Modeling in Probability and Statistics
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Springer International Publishing Apr 2017, 2017
ISBN 10: 3319381628
ISBN 13: 9783319381626
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 to provide 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. 400 pp. Englisch. Nº de ref. del artículo: 9783319381626
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Geometric Modeling in Probability and Statistics
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Geometric Modeling in Probability and Statistics
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Geometric Modeling in Probability and Statistics
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ISBN 10: 3319381628
ISBN 13: 9783319381626
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive treatment of probability theory from the framework of differential geometryWell-chosen problems covering a diverse spectrum of topicsUse of hands-on software to clarify and understand informational geometry concepts. Nº de ref. del artículo: 458605617
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Geometric Modeling in Probability and Statistics
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Geometric Modeling in Probability and Statistics
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Springer International Publishing, Springer International Publishing Apr 2017, 2017
ISBN 10: 3319381628
ISBN 13: 9783319381626
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Taschenbuch. Condición: Neu. Neuware -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 to provide 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch. Nº de ref. del artículo: 9783319381626
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Geometric Modeling in Probability and Statistics
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Springer International Publishing, 2017
ISBN 10: 3319381628
ISBN 13: 9783319381626
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 to provide 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. Nº de ref. del artículo: 9783319381626
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Geometric Modeling in Probability and Statistics
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Paperback. Condición: Brand New. reprint edition. 400 pages. 9.25x6.10x1.54 inches. In Stock. Nº de ref. del artículo: 3319381628
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Geometric Modeling in Probability and Statistics
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319381628
ISBN 13: 9783319381626
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