Applied Probability and Stochastic Processes

Offers a mixture of theoretical, algorithmic, and application chapters providing examples of the work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes. This collection is an edited work written in honour of Julien Keilson. It covers a variety of applied probability topics, including, but not limited to: perturbation method, time reversible Markov chains, Poisson processes, Brownian techniques, Bayesian probability, optimal quality control, Markov decision processes, random matrices, queueing theory and a variety of applications of stochastic processes. The book has a mixture of theoretical, algorithmic, and application chapters providing examples of the work that Professor Keilson has done or influenced over the course of his career in applied probability and stochastic processes. The book will be of interest to academic researchers, students, and industrial practitioners who seek to use the mathematics of applied probability in solving problems in modern society.