Approximating Integrals via Monte Carlo and Deterministic Methods (Oxford Statistical Science, #20)

by Michael Evans and Timothy Swartz

0 ratings • 0 reviews • 0 shelved
Book cover for Approximating Integrals via Monte Carlo and Deterministic Methods

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

This book is designed to introduce graduate students and researchers to the primary methods useful for approximating integrals. The emphasis is on those methods that have been found to be of practical use, and although the focus is on approximating higher- dimensional integrals the lower-dimensional case is also covered. Included in the book are asymptotic techniques, multiple quadrature and quasi-random techniques as well as a complete development of Monte Carlo
algorithms. For the Monte Carlo section importance sampling methods, variance reduction techniques and the primary Markov Chain Monte Carlo algorithms are covered. This book brings these various techniques together for the first time, and hence provides an accessible textbook and reference for
researchers in a wide variety of disciplines.
  • ISBN10 0198502788
  • ISBN13 9780198502784
  • Publish Date 23 March 2000
  • Publish Status Active
  • Publish Country GB
  • Imprint Oxford University Press
  • Format Hardcover
  • Pages 298
  • Language English