DocumentCode
2607767
Title
From differential to information geometry
Author
Opitz, Felix
Author_Institution
EADS Deutschland GmbH, Ulm, Germany
fYear
2010
fDate
14-16 June 2010
Firstpage
186
Lastpage
191
Abstract
Information geometry is a new and increasing topic between statistics, estimation and differential geometry. Many amazing relationships between these domains were established through the last years. Unfortunately, it is not easy to find an easy approach to information geometry, which requires a deep understanding of differential geometry and statistics. The paper presents an easy readable introduction to information geometry, adapted from the analogies of surfaces embedded in the three dimensional space. It is shown, how well known structures like hyperbolic geometry and affine spaces occurs again in information geometry. Finally, some applications are given.
Keywords
differential geometry; statistics; afflne spaces; differential geometry; estimation; hyperbolic geometry; information geometry; statistics; Gaussian distribution; Information geometry; Manifolds; Measurement; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location
Elba
Print_ISBN
978-1-4244-6457-9
Type
conf
DOI
10.1109/CIP.2010.5604248
Filename
5604248
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