Information Geometry
Information Geometry by Arni S. R. Srinivasa Rao, published by Elsevier Science on September 28, 2021, is a comprehensive exploration of the intersection of statistics, computer science, physics, and mathematics. This edition spans 248 pages and is presented in English. The book delves into the evolution of information geometry, tracing its roots back to the influential work of statistician C.R. Rao in 1945, which introduced concepts such as Cramer-Rao bounds and Rao distances.
Readers will find a thorough examination of the foundational principles and advanced applications of information geometry. The chapters are authored by experts in the field, ensuring a balanced approach that caters to both beginners and advanced practitioners. The text covers essential topics such as Fisher-Rao metrics and their significance in areas like geodesics and econometric analysis, making it a valuable resource for those interested in mathematics, probability, statistics, and stochastic processes.
Official synopsis Publisher
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.
- Written by experts for users of information geometry
- Basics to advanced readers are equally taken care
- Origins and Clarity on Foundations
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