
Monte Carlo strategies in scientific computing
Jun S. Liu · 2002
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"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.
Book details
- Year
- 2002
- Language
- English
- Publisher
- Springer
- Editions
- 2
- Pages
- 360
- ISBN
- 9780387952307
Data source: Wikidata
