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001446949 001__ 1446949
001446949 003__ OCoLC
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001446949 020__ $$a9783030983192$$q(electronic bk.)
001446949 020__ $$a3030983196$$q(electronic bk.)
001446949 020__ $$z9783030983185
001446949 020__ $$z3030983188
001446949 0247_ $$a10.1007/978-3-030-98319-2$$2doi
001446949 035__ $$aSP(OCoLC)1319834033
001446949 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dSFB$$dUKAHL$$dOCLCQ
001446949 049__ $$aISEA
001446949 050_4 $$aQA298
001446949 08204 $$a518/.282$$223/eng/20220525
001446949 1112_ $$aInternational Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing$$n(14th :$$d2020 :$$cOnline)
001446949 24510 $$aMonte Carlo and Quasi-Monte Carlo methods :$$bMCQMC 2020, Oxford, United Kingdom, August 10-14 /$$cAlexander Keller, editor.
001446949 24630 $$aMCQMC 2020
001446949 264_1 $$aCham :$$bSpringer,$$c[2022]
001446949 264_4 $$c©2022
001446949 300__ $$a1 online resource :$$billustrations (chiefly color).
001446949 336__ $$atext$$btxt$$2rdacontent
001446949 337__ $$acomputer$$bc$$2rdamedia
001446949 338__ $$aonline resource$$bcr$$2rdacarrier
001446949 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 387
001446949 500__ $$aInternational conference proceedings.
001446949 504__ $$aIncludes bibliographical references.
001446949 5050_ $$aThe MCQMC Conference Series -- The MCQMC Conference Series: P. LEcuyer 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. LEcuyer, 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. Francois, 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 Francois-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.
001446949 506__ $$aAccess limited to authorized users.
001446949 520__ $$aThis 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.
001446949 588__ $$aDescription based on print version record.
001446949 650_0 $$aMonte Carlo method$$vCongresses.
001446949 650_6 $$aMéthode de Monte-Carlo$$0(CaQQLa)201-0077595$$vCongrès.$$0(CaQQLa)201-0378219
001446949 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001446949 655_7 $$aConference papers and proceedings.$$2lcgft
001446949 655_7 $$aCongressos.$$2thub
001446949 655_7 $$aLlibres electrònics.$$2thub
001446949 655_0 $$aElectronic books.
001446949 7001_ $$aKeller, Alexander,$$d1968-$$eeditor.$$1https://isni.org/isni/000000011474747X
001446949 77608 $$iPrint version:$$aInternational Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (14th : 2020 : Online), creator.$$tMonte Carlo and Quasi-Monte Carlo methods.$$dCham : Springer, 2022$$z9783030983185$$w(OCoLC)1308475587
001446949 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv.387.
001446949 852__ $$bebk
001446949 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-98319-2$$zOnline Access$$91397441.1
001446949 909CO $$ooai:library.usi.edu:1446949$$pGLOBAL_SET
001446949 980__ $$aBIB
001446949 980__ $$aEBOOK
001446949 982__ $$aEbook
001446949 983__ $$aOnline
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