Second Order Properties of Thinned Counts in Finite Birth--Death Processes
Daryl. J. Daley, Yoni Nazarathy, Jiesen Wang

TL;DR
This paper analyzes the second order properties of thinned counting processes derived from finite birth-death processes, providing formulas for asymptotic variance and exploring applications in queueing models.
Contribution
It derives a formula for the asymptotic variance rate of thinned counts in finite birth-death processes, extending understanding of their second order properties.
Findings
Derived a formula for asymptotic variance rate.
Illustrated results with queueing model examples.
Conjectured and tested an analogous formula for infinite state spaces.
Abstract
The paper studies the counting process arising as a subset of births and deaths in a birth--death process on a finite state space. Whenever a birth or death occurs, the process is incremented or not depending on the outcome of an independent Bernoulli experiment whose probability is a state-dependent function of the birth and death and also depends on whether it is a birth or death that has occurred. We establish a formula for the asymptotic variance rate of this process, also presented as the ratio of the asymptotic variance and the asymptotic mean. Several examples including queueing models illustrate the scope of applicability of the results. An analogous formula for the countably infinite state space is conjectured and tested.
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 · Probability and Risk Models · Bayesian Methods and Mixture Models
