Elementary results on K processes with weights
Luiz Renato Fontes, Gabriel R. C. Peixoto

TL;DR
This paper introduces a specific class of K processes with weights, explores their fundamental properties, and extends previous work by deriving new results on their Markovian nature, transition rates, and stationary distributions.
Contribution
It provides a new construction of K processes with weights and derives elementary properties, including cases not previously analyzed by Reuter.
Findings
Established the Markov property of the process
Derived transition rates and stationary distribution
Extended analysis to a new case not previously studied
Abstract
We introduce the title process via a particular construction, and relate it to processes previously studied, in particular a process introduced by G. E. H. Reuter in 1969. We derive elementary properties and quantities of this processes: Markov property, transition rates, stationary distribution, and the infinitesimal generator for a case not treated by Reuter.
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
TopicsMarkov Chains and Monte Carlo Methods · Statistical Methods and Inference · Probability and Risk Models
