This book is about stochastic-process limits -- limits in which a sequence of stochastic processes converges to another stochastic process. These are useful and interesting because they generate simple approximations for complicated stochastic processes and also help explain the statistical regularity associated with a macroscopic view of uncertainty. This book will be of interest to researchers and graduate students working in the areas of probability, stochastic processes, and operations research.
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