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Asymmetric Topologies on Statistical Manifolds by Belavkin, Roman V. is a scholarly article available to read on EtoBox.

What is Asymmetric Topologies on Statistical Manifolds about?

Asymmetric information distances are used to define asymmetric norms and quasimetrics on the statistical manifold and its dual space of random variables. Quasimetric topology, generated by the Kullback-Leibler (KL) divergence, is considered as the main example, and some of its topological properties are investigated.

Author

Belavkin, Roman V.

Published

2015

Language

EN