Monte Carlo and Quasi-Monte Carlo Methods

MCQMC, Leuven, Belgium, April 2014
1. Auflage 2016
ISBN: 978-3-319-33505-6
Verlag: Springer International Publishing

Buch, Englisch, Band 163, 622 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 10756 g

Reihe: Springer Proceedings in Mathematics & Statistics

This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.

Zielgruppe

Research

Autoren/Hrsg.

Nuyens, Dirk

Cools, Ronald

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Inhaltsverzeichnis

Part I Invited papers.- Multilevel Monte Carlo Implementation for SDEs driven by Truncated Stable Processes.- Construction of a Mean Square Error Adaptive Euler–Maruyama Method With Applications in Multilevel Monte Carlo.- Vandermonde Nets and Vandermonde Sequences.- Path Space Markov Chain Monte Carlo Methods in Computer Graphics.- Walsh Figure of Merit for Digital Nets: An Easy Measure for Higher Order Convergent QMC.- Some Results on the Complexity of Numerical Integration.- Approximate Bayesian Computation: A Survey on Recent Results.- Part II Contributed papers.- Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier–Stokes Equations.- Unbiased Simulation of Distributions with Explicitly Known Integral Transforms.- Central Limit Theorem for Adaptive Multilevel Splitting Estimators in an Idealized Setting.- Comparison between LS-Sequences and ß -adic van der Corput Sequences.- Computational Higher Order Quasi-Monte Carlo Integration.- Numerical Computation of Multivariate Normal Probabilities using Bivariate Conditioning.- Non-nested Adaptive Timesteps in Multilevel Monte Carlo Computations.- On ANOVA Decompositions of Kernels and Gaussian Random Field Paths.- The Mean Square Quasi-Monte Carlo Error for Digitally Shifted Digital Nets.- Uncertainty and Robustness in Weather Derivative Models.- Reliable Adaptive Cubature Using Digital Sequences.- Optimal Point Sets for Quasi-Monte Carlo Integration of Bivariate Periodic Functions with Bounded Mixed Derivatives.- Adaptive Multidimensional Integration Based on Rank-1 Lattices.- Path Space Filtering.- Tractability of Multivariate Integration in Hybrid Function Spaces.- Derivative-based Global Sensitivity Measures and Their Link with Sobol’ Sensitivity Indices.- Bernstein Numbers and Lower Bounds for the Monte Carlo Error.- A Note on the Importance of Weak Convergence Rates for SPDE Approximations in Multilevel Monte Carlo Schemes.- A Strategy for Parallel Implementations of StochasticLagrangian Simulation.- A New Rejection Sampling