Auxiliary variables for Bayesian inference in multi-class queueing networks

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Auxiliary variables for Bayesian inference in multi-class queueing networks

Queueing networks describe complex stochastic systems of both theoretical and practical interest. They provide the means to assess alterations, diagnose poor performance and evaluate robustness across sets of interconnected resources. In the present paper, we focus on the underlying continuous-time...

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Bibliographic Details
Main Authors:	Pérez López, Iker, Hodge, David, Kypraios, Theodore
Format:	Article
Published:	Springer 2017
Subjects:	Queueing networks Continuous-time Markov Chains Uniformization Markov chain Monte Carlo Slice Sampler
Online Access:	https://eprints.nottingham.ac.uk/47667/

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