Online learning and optimization for queues with unknown demand curve and service distribution

X Chen, Y Liu, G Hong - arXiv preprint arXiv:2303.03399, 2023 - arxiv.org
We investigate an optimization problem in a queueing system where the service provider
selects the optimal service fee p and service capacity\mu to maximize the cumulative …

Steady-State Analysis and Online Learning for Queues with Hawkes Arrivals

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 …

Computable Bounds on Convergence of Markov Chains in Wasserstein Distance

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 …

Parameter and dimension dependence of convergence rates to stationarity for reflecting Brownian motions

S Banerjee, A Budhiraja - The Annals of Applied Probability, 2020 - JSTOR
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 …

Stationary distributions and convergence for M/M/1 queues in interactive random environment

G Pang, A Sarantsev, Y Belopolskaya, Y Suhov - Queueing Systems, 2020 - Springer
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 …

Strong existence, pathwise uniqueness and chains of collisions in infinite Brownian particle systems

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 …

Efficient steady-state simulation of high-dimensional stochastic networks

J Blanchet, X Chen, N Si, PW Glynn - Stochastic Systems, 2021 - pubsonline.informs.org
We propose and study an asymptotically optimal Monte Carlo estimator for steady-state
expectations of ad-dimensional reflected Brownian motion (RBM). Our estimator is …

Long-Time Behavior of Finite and Infinite Dimensional Reflected Brownian Motions

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 …

Dimension-free local convergence and perturbations for reflected Brownian motions

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 …

Exponential ergodicity and convergence for generalized reflected Brownian motion

W Tang - Queueing Systems, 2019 - Springer
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 …