Markov processes with product-form stationary distribution
Krzysztof Burdzy, David White

TL;DR
This paper investigates a class of finite-state continuous-time Markov processes with product-form stationary distributions, providing examples that inspire conjectures for diffusions with inert drift.
Contribution
It introduces new examples of Markov processes with product-form stationary distributions that suggest potential conjectures for related diffusion processes.
Findings
Examples of Markov processes with product-form stationary distributions
Insights into conjectures for diffusions with inert drift
Potential applications in stochastic modeling
Abstract
We study a class of Markov processes with finite state space and continuous time that have product form stationary distributions. We obtain a number of examples that can generate conjectures for diffusions with inert drift.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals
