INFORMS Applied Probability Society

The Applied Probability Society is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). The Society is concerned with the application of probability theory to systems that involve random phenomena, for example, manufacturing, communication network, computer network, service, and financial systems. The Society promotes the development and use of methods for the improvement of evaluation, control, and design of these systems. Such methods include (stochastic) dynamic programming, queueing theory, Markov decision process, discrete event dynamic systems, point processes, large deviations, reliability, and so on. Our members include practitioners, educators, and researchers with backgrounds in business, engineering, statistics, mathematics, economics, computer science, and other applied sciences.

Publications

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Reflecting Brownian motion in two dimensions: Exact asymptotics for the stationary distribution J. G. Dai and Masakiyo Miyazawa Stochastic Systems, Volume 1, Number 1 (2011)
Many-server queues with customer abandonment: Numerical analysis of their diffusion model J. G. Dai and Shuangchi He Stochastic Systems, Volume 3, Number 1 (2013)
On patient flow in hospitals: A data-based queueing-science perspective Mor Armony, Shlomo Israelit, Avishai Mandelbaum, Yariv N. Marmor, Yulia Tseytlin, and Galit B. Yom-Tov Stochastic Systems, Volume 5, Number 1 (2015)
Heavy traffic queue length behavior in a switch under the MaxWeight algorithm Siva Theja Maguluri and R. Srikant Stochastic Systems, Volume 6, Number 1 (2016)
Models with hidden regular variation: Generation and detection Bikramjit Das and Sidney I. Resnick Stochastic Systems, Volume 5, Number 2 (2015)