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Monte Carlo strategies in scientific computingMonte Carlo strategies in scientific computing

Monte Carlo strategies in scientific computing

Jun S. Liu

About this book

"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 the textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the later chapters can be potential thesis topics for master's or Ph.D. students in statistics or computer science departments."--BOOK JACKET.

Details

OL Work ID
OL8058908W

Subjects

Monte Carlo methodScienceStatistical methods

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Open Library
Book data from Open Library. Cover images courtesy of Open Library.