Information Geometry: Volume 45
Published on 28. September 2021
Book
Hardback
248 pages
978-0-323-85567-9 (ISBN)
Description
The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, econometric analysis to modern-day business analytics. The chapters of the book are written by experts in the field who have been promoting the field of information geometry and its applications.
More details
Series
Language
English
Place of publication
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Statisticians, computer scientists, physicists, econometricians and mathematicians.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
600 gr
ISBN-13
978-0-323-85567-9 (9780323855679)
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Content
Section I Foundations of information geometry 1. Revisiting the connection between Fisher information and entropy's rate of change A.R. Plastino, A. Plastino, and F. Pennini 2. Pythagoras theorem in information geometry and applications to generalized linear models Shinto Eguchi 3. Rao distances and conformal mapping Arni S.R. Srinivasa Rao and Steven G. Krantz 4. Cramer-Rao inequality for testing the suitability of divergent partition functions Angelo Plastino, Mario Carlos Rocca, and Diana Monteoliva 5. Information geometry and classical CramKumar Vijay Mishra and M. Ashok Kumar Section II Theoretical applications and physics 6. Principle of minimum loss of Fisher information, arising from the Cramer-Rao inequality: Its role in evolution of bio-physical laws, complex systems and universes B. Roy Frieden 7. Quantum metrology and quantum correlations Diego G. Bussandri and Pedro W. Lamberti 8. Information, economics, and the Cramer-Rao bound Raymond J. Hawkins and B. Roy Frieden 9. Zipf's law results from the scaling invariance of the Cramer-Rao inequality Alberto Hernando and Angelo Plastino Section III Advanced statistical theory 10. ?-Deformed probability families with subtractive and divisive normalizations Jun Zhang and Ting-Kam Leonard Wong 11. Some remarks on Fisher information, the Cramer-Rao inequality, and their applications to physics H.G. Miller, A. Plastino, and A.R. Plastino