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Description of  Monte Carlo and Quasi-Monte Carlo Sampling (Springer Series in Statistics)

QuasiMonte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in finance, has motivated the development of several new research areas within this field to which practitioners and researchers from various disciplines currently contribute. This book presents essential tools for using quasiMonte Carlo sampling in practice. The first part of the book focuses on issues related to Monte Carlo methodsuniform and non-uniform random number generation, variance reduction techniquesbut the material is presented to prepare the readers for the next step, which is to replace the random sampling inherent to Monte Carlo by quasirandom sampling. The second part of the book deals with this next step. Several aspects of quasi-Monte Carlo methods are covered, including constructions, randomizations, the use of ANOVA decompositions, and the concept of effective dimension. The third part of the book is devoted to applications in finance and more advanced statistical tools like Markov chain Monte Carlo and sequential Monte Carlo, with a discussion of their quasiMonte Carlo counterpart. Read more