Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2020, Oxford, United Kingdom, August 10–14 / edited by Alexander Keller

Von:

Monte Carlo and Quasi-Monte Carlo Methods (2020 : Oxford) [VerfasserIn]

Mitwirkende(r):

Keller, Alexander [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Springer eBook Collection | Springer proceedings in mathematics & statistics ; 387Verlag: Cham : Springer, 2022Beschreibung: 1 Online-Ressource (XVI, 311Seiten) : IllustrationenISBN:

9783030983192

Schlagwörter:

Genre/Form:

Konferenzschrift

Andere physische Formen: 9783030983185 | 9783030983208 | 9783030983215 | Erscheint auch als: 9783030983185 Druck-Ausgabe | Erscheint auch als: 9783030983208 Druck-Ausgabe | Erscheint auch als: 9783030983215 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-98319-2Online-Ressourcen:

Zusammenfassung: The MCQMC Conference Series -- The MCQMC Conference Series: P. L’Ecuyer and F. Puchhammer, Density Estimation by Monte Carlo and Quasi-Monte Carlo -- Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin, Quasi-Monte Carlo Software -- Part II Regular Talks: P. L’Ecuyer, P. Marion, M. Godin, and F. Puchhamme, A Tool for Custom Construction of QMC and RQMC Point Sets -- Art B. Owen, On Dropping the first Sobol’ Point -- C. Lemieux and J. Wiart, On the Distribution of Scrambled Nets over Unanchored Boxes -- S. Heinrich, Lower Bounds for the Number of Random Bits in Monte Carlo Algorithms -- N. Binder, S. Fricke, and A. Keller, Massively Parallel Path Space Filtering -- M. Hird, S. Livingstone, and G. Zanella, A fresh Take on ‘Barker Dynamics’ for MCMC -- P. Blondeel, P. Robbe, S. François, G. Lombaert and S. Vandewalle, On the Selection of Random Field Evaluation Points in the p-MLQMC Method -- S. Si, Chris. J. Oates, Andrew B. Duncan, L. Carin, and François-Xavier Briol, Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization -- Andrei S. Cozma and C. Reisinger, Simulation of Conditional Expectations under fast mean-reverting Stochastic Volatility Models -- M. Huber, Generating from the Strauss Process using stitching -- R. Nasdala and D. Potts, A Note on Transformed Fourier Systems for the Approximation of Non-Periodic Signals -- M. Hofert, A. Prasad, and Mu Zhu, Applications of Multivariate Quasi-Random Sampling with Neural Networks -- A. Keller and Matthijs Van keirsbilck, Artificial Neural Networks generated by Low Discrepancy Sequences.Zusammenfassung: This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.PPN: PPN: 1804280763Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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