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20212024
most citedInformation Geometry of Reversible Markov Chains

17 citations · 24 across the 7 of their papers we have counts for

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7 papers

math.PR2024

Characterization of Exponential Families of Lumpable Stochastic Matrices

Shun Watanabe, Geoffrey Wolfer

It is known that the set of lumpable Markov chains over a finite state space, with respect to a fixed lumping function, generally does not form an exponential family of stochastic…

math.PR2024

Geometry and factorization of multivariate Markov chains with applications to MCMC acceleration and approximate inference

Michael C. H. Choi, Youjia Wang, Geoffrey Wolfer

This paper analyzes the factorizability and geometry of transition matrices of multivariate Markov chains. Specifically, we demonstrate that the induced chains on factors of a prod…

math.PR2023

Markov chain entropy games and the geometry of their Nash equilibria

Michael C. H. Choi, Geoffrey Wolfer

We introduce and study a two-player zero-sum game between a probabilist and Nature defined by a convex function , a finite collection of Markov generators (or its…

math.PR2023★ 3 cited

Systematic approaches to generate reversiblizations of Markov chains

Michael C. H. Choi, Geoffrey Wolfer

Given a target distribution and an arbitrary Markov infinitesimal generator on a finite state space , we develop three structured and inter-related approaches…

math.PR2023★ 2 cited

A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains

Geoffrey Wolfer, Shun Watanabe

We consider the problem of testing the identity of a reversible Markov chain against a reference from a single trajectory of observations. Employing the recently introduced notion…

math.PR2022★ 2 cited

Geometric Aspects of Data-Processing of Markov Chains

Geoffrey Wolfer, Shun Watanabe

We examine data-processing of Markov chains through the lens of information geometry. We first establish a theory of congruent Markov morphisms within the framework of stochastic m…

math.ST2021★ 17 cited

Information Geometry of Reversible Markov Chains

Geoffrey Wolfer, Shun Watanabe

We analyze the information geometric structure of time reversibility for parametric families of irreducible transition kernels of Markov chains. We define and characterize reversib…