Geometric Modeling in Probability and Statistics

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, statist...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Calin, Ovidiu (Συγγραφέας), Udrişte, Constantin (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: The Geometry of Statistical Models
  • Statistical Models
  • Explicit Examples
  • Entropy on Statistical Models
  • Kullback–Leibler Relative Entropy
  • Informational Energy
  • Maximum Entropy Distributions
  • Part II: Statistical Manifolds
  • An Introduction to Manifolds
  • Dualistic Structure
  • Dual Volume Elements
  • Dual Laplacians
  • Contrast Functions Geometry
  • Contrast Functions on Statistical Models
  • Statistical Submanifolds
  • Appendix A: Information Geometry Calculator.