An elementary introduction to information geometry
This survey paper provides a concise and self-contained introduction to the core concepts and structures of information geometry, a field that applies differential geometry to information science problems. The paper introduces key structures like conjugate connection manifolds and statistical manifolds, and illustrates their application in areas such as Bayesian hypothesis testing and mixture clustering. It focuses heavily on the mathematical foundations, with less emphasis on practical implementations or specific examples.