Ovidiu Calin, Constantin Udriste

Gebundenes Buch

Geometric Modeling in Probability and Statistics

Beschreibung

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.

Produktdetails

• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 86353093, 978-3-319-07778-9
• 2014
• Seitenzahl: 400
• Erscheinungstermin: 1. August 2014
• Englisch
• Abmessung: 241mm x 160mm x 27mm
• Gewicht: 797g
• ISBN-13: 9783319077789
• ISBN-10: 3319077783
• Artikelnr.: 40840358

Rezensionen

"The book under review presents a concise introduction to the mathematical foundation of information geometry and contains an overview of other related areas of interest and applications. ... This book is well-written and will be a useful and important addition to the resources of practitioners and many others engaged in probability theory, mathematical statistics and related subjects. I recommend it highly as a textbook for a course directed at graduate or advanced undergraduate students." (Prasanna Sahoo, zbMATH, Vol. 1325.60001, 2016)