Information geometry is a field of study that combines concepts from differential geometry and information theory. It primarily deals with the geometrical structures that can be defined on the space of probability distributions. The key ideas in information geometry involve using techniques from differential geometry to analyze and understand statistical models and information-theoretic concepts. Here are some of the main components of information geometry: 1. **Manifolds of Probability Distributions**: The space of probability distributions can often be treated as a differential manifold.
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