University of Cambridge > > Optimization and Incentives Seminar > A Bayesian nonrandom walk through the world of the queues

A Bayesian nonrandom walk through the world of the queues

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Queueing systems are the natural probabilistic models when dealing with scenarios characterized by congestion and jams. Most of the scientific effort in this field has been devoted to the construction of models and the study of its mathematical properties and very little attention has been devoted to the statistical analysis of queueing systems. This talk is about Bayesian statistics in queues. The general Bayesian statistical approach is presented and some special features of the Bayesian reasoning in queues are discussed: report of probabilities of direct interest, prediction in equilibrium, design, prior distribution, and combination of different sources of uncertainty.

This talk is part of the Optimization and Incentives Seminar series.

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