Home > Events > 2017 Seminars & Colloquia > Peter W Glynn, Stanford University

Peter W Glynn, Stanford University

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Statistics for Arrival Modeling to Queues
02 November 2017 from 4:00 PM to 5:00 PM
201 Thomas Building
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In this talk, we will discuss statistical questions that arise at the interface of queueing theory and operations management. In particular, we will discuss how the extensive limit theory that exists for queues lends insight into what features of the incoming arrival traffic must be captured by statistical models fitted to real data. We will also discuss some important features of the theory of point processes that clarify the time scales at which one can expect Poisson processes to adequately describe arrival data. Finally, we will discuss various statistical tools and diagnostics that are useful in fitting data to queueing models in a way that can enhance operational decision-making. This talk describes joint work with Zeyu Zheng, Xiaowei Zhang, and Harsha Honnappa.

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