X Chen, G Hong - arXiv preprint arXiv:2311.02577, 2023 - arxiv.org
We investigate the long-run behavior of single-server queues with Hawkes arrivals and general service distributions and related optimization problems. In detail, utilizing novel …
Y Qu, J Blanchet, P Glynn - arXiv preprint arXiv:2308.10341, 2023 - arxiv.org
We introduce a unified framework to estimate the convergence of Markov chains to equilibrium using Wasserstein distance. The framework provides convergence bounds with …
We obtain rates of convergence to stationarity in L ¹-Wasserstein distance for ad- dimensional reflected Brownian motion (RBM) in the nonnegative orthant that are explicit in …
A Markovian single-server queue is studied in an interactive random environment. The arrival and service rates of the queue depend on the environment, while the transition …
S Banerjee, A Budhiraja, P Rudzis - arXiv preprint arXiv:2501.07840, 2025 - arxiv.org
We study strong existence and pathwise uniqueness for a class of infinite-dimensional singular stochastic differential equations (SDE), with state space as the cone $\{x\in\mathbb …
We propose and study an asymptotically optimal Monte Carlo estimator for steady-state expectations of ad-dimensional reflected Brownian motion (RBM). Our estimator is …
S Banerjee, A Budhiraja - Probability and Stochastic Processes: A Volume …, 2024 - Springer
This article presents a review of some old and new results on the long-time behavior of reflected diffusions. First, we present a summary of prior results on construction, ergodicity …
S Banerjee, B Brown - The Annals of Applied Probability, 2023 - projecteuclid.org
We describe and analyze a class of positive recurrent reflected Brownian motions (RBMs) in R+ d for which local statistics converge to equilibrium at a rate independent of the dimension …
In this paper, we provide convergence analysis for a class of Brownian queues in tandem by establishing an exponential drift condition. A consequence is uniform exponential ergodicity …