activity
20162025
most citedSurvival Dynamical Systems for the Population-level Analysis of Epidemics

6 citations · 23 across the 19 of their papers we have counts for

collaborators

24 papers

stat.ME2025

Kernel-based estimators for functional causal effects

Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1

We propose causal effect estimators based on empirical Fréchet means and operator-valued kernels, tailored to functional data spaces. These methods address the challenges of high-d…

physics.soc-ph2025★ 1 cited

Including frameworks of public health ethics in computational modelling of infectious disease interventions

Alexander E. Zarebski, Nefel Tellioglu, Jessica E. Stockdale +4

Decisions on public health interventions to control infectious disease are often informed by computational models. Interpreting the predicted outcomes of a public health decision r…

math.PR2025

Mixing time for an epidemic model on graphs with external sources of infection

Wasiur R. KhudaBukhsh, Yangrui Xiang

We study the mixing time of a Susceptible--Infected--Susceptible (SIS) model on graphs with external sources of infection, which we refer to as the noisy SIS model. Under suitable…

math.PR2024

Stochastic Analysis of Entanglement-assisted Quantum Communication Channels

Karim S. Elsayed, Olga Izyumtseva, Wasiur R. KhudaBukhsh +1

We present a queueing model for a quantum communication network consisting of a primary queue and a service queue in which Bell pairs are formed and stored. The Bell pairs are inhe…

stat.ME2024

Model-based clustering of time-dependent observations with common structural changes

Riccardo Corradin, Luca Danese, Wasiur R. KhudaBukhsh +1

We propose a novel model-based clustering approach for samples of time series. We assume as a unique commonality that two observations belong to the same group if structural change…

math.PR2024

Local times of self-intersection and sample path properties of Volterra Gaussian processes

Olga Izyumtseva, Wasiur R. KhudaBukhsh

We study a Volterra Gaussian process of the form where is a Wiener process and is a continuous kernel. In dimension one, we prove a law of the…