activity
20182022
most citedA Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with Application to Covid-19

2 citations · 4 across the 6 of their papers we have counts for

collaborators

15 papers

q-bio.PE20202 cited

A Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with Application to Covid-19

Kevin Burke, B. Ross Barmish

In this paper, we introduce a new control-theoretic paradigm for mitigating the spread of a virus. To this end, our discrete-time controller, aims to reduce the number of new daily…

physics.soc-ph2020

A generalised mean-field approximation for the Deffuant opinion dynamics model on networks

Susan C. Fennell, Kevin Burke, Michael Quayle +1

When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network.…

math.OC2020

A Generalization of the Classical Kelly Betting Formula to the Case of Temporal Correlation

Joseph D. O'Brien, Kevin Burke, Mark E. Burke +1

For sequential betting games, Kelly's theory, aimed at maximization of the logarithmic growth of one's account value, involves optimization of the so-called betting fraction . I…

physics.soc-ph2019

Agreement Threshold on Axelrod's model of Cultural Dissemination

Pádraig Mac Carron, Paul J. Maher, Susan Fennell +4

Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In…

stat.AP2019

A modelling methodology for social interaction experiments

Susan C. Fennell, James P. Gleeson, Michael Quayle +2

Analysis of temporal network data arising from online interactive social experiments is not possible with standard statistical methods because the assumptions of these models, such…

stat.AP2019

An Alternative Formulation of Coxian Phase-type Distributions with Covariates: Application to Emergency Department Length of Stay

Jean Rizk, Kevin Burke, Cathal Walsh

In this paper we present a new methodology to model patient transitions and length of stay in the emergency department using a series of conditional Coxian phase-type distributions…