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Differential Geometrical Foundations Of Information Geometry

Geometry Of Statistical Manifolds And Divergences
Buch | Hardcover
350 Seiten
2024
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-4618-76-2 (ISBN)
CHF 209,45 inkl. MwSt
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This monograph gives foundations of information geometry from the viewpoint of differential geometry. In information geometry, a statistical manifold structure is important, which is related to geometry of a pair of dual affine connections and an asymmetric distance called divergence. First, we summarize geometry of statistical manifolds. As applications, we explain statistical inferences and information criterions from the viewpoint of differential geometry.

Information geometry suggests generalized conformal structures on statistical manifold, which unify conformal structures and projective structures, etc. Hence we summarize these conformal geometries. In addition, such generalized conformal structure is useful for geometry of deformed exponential families, which is related to theory of complex systems and anomalous statistics. Hence we study geometry of deformed exponential families.

We also summarize recent developments of information geometry. In particular, we study geometry of Bayesian statistics, and infinite dimensional information geometry, etc.

Readership: Graduate students, researchers and professionals in Geometry.


Statistical Manifolds and Hessian Manifolds
Divergences
Geometry of Statistical Inferences
Generalized Conformal Structures
Conformal Divergences
Geometry of Deformed Exponential Families
Generalizations of Expectation and Independence of Random Variables
Equaffine Structures and Tchebychev Forms, Geometry of Bayesian Statistics
Infinite Dimensional Information Geometry

Erscheint lt. Verlag 30.6.2026
Verlagsort Singapore
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Geometrie / Topologie
ISBN-10 981-4618-76-4 / 9814618764
ISBN-13 978-981-4618-76-2 / 9789814618762
Zustand Neuware
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