Workshop
Information geometry of Markov chains
- H. Nagaoka
Abstract
It is shown that the information geometrical notions such as Fisher metric, alpha-connections, divergence and exponential families are naturally extended to manifolds of Markov transition matrices, where the theory of dual connections works very well as in the usual information geometry for manifolds of probability distributions. Some statistical and probabilistic implications are also given in asymptotic settings.
