📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Likelihood-Free Parameter Estimation for Dynamic Queueing Networks: Case Study of Passenger Flow in an International Airport Terminal (2021)

First Author: Ebert A
Attributed to:  COVID-19: Optimal Lockdown funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/rssc.12487

Publication URI: http://dx.doi.org/10.1111/rssc.12487

Type: Journal Article/Review

Parent Publication: Journal of the Royal Statistical Society Series C: Applied Statistics

Issue: 3