This book provides a self-contained and up-to-date treatment of
the Monte Carlo method and develops a common framework under which
various Monte Carlo techniques can be "standardized" and compared.
Given the interdisciplinary nature of the topics and a moderate
prerequisite for the reader, this book should be of interest to a
broad audience of quantitative researchers such as computational
biologists, computer scientists, econometricians, engineers,
probabilists, and statisticians. It can also be used as a textbook
for a graduate-level course on Monte Carlo methods.
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