LEADER 01395nam a2200277 a 4500 001 991000495379707536 008 091216s 000 0 ita d 020 $a8890214848 035 $ab13865778-39ule_inst 040 $aDip.to Filologia Ling. e Lett.$bita 082 0 $a410.940 245 10$aEsperienze geolinguistiche :$bpercorsi di ricerca italiani e europei : atti del Seminario di Studi su Percorsi di Geografia linguistica. Esperienze italiane e europee. Palermo 23-24 marzo 2005 /$ca cura di Vito Matranga e Roberto Sottile 260 $aPalermo :$b [s.n.],$c2007 300 $a262 p. :$bill., c. geogr. (alcune color.) ;$c31 cm. 440 0$aMateriali e ricerche dell'Atlante linguistico della Sicilia ;$v18 500 $acopyr.: Centro di studi filologici e linguistici siciliani ; Dipartimento di Scienze Filologiche e Linguistiche - Facoltà di Lettere e Filosofia dell'Università di Palermo 650 4$aCongressi$zPalermo$y2005 651 4$aEuropa$xGeografia linguistica$xCongressi$y2005 700 1 $aMatranga, Vito 700 1 $aSottile, Roberto 907 $a.b13865778$b02-04-14$c16-12-09 912 $a991000495379707536 945 $aLE008 FL.M. (SCL) D 82$g1$i2008000420482$lle008$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i15049425$z16-12-09 996 $aEsperienze geolinguistiche$9231589 997 $aUNISALENTO 998 $ale008$b16-12-09$cm$da $e-$fita$git $h0$i0 LEADER 04397nam 22006615 450 001 9910574057803321 005 20251229082816.0 010 $a9783030983192$b(electronic bk.) 010 $z9783030983185 024 7 $a10.1007/978-3-030-98319-2 035 $a(MiAaPQ)EBC6997695 035 $a(Au-PeEL)EBL6997695 035 $a(CKB)22892318000041 035 $a(PPN)269153519 035 $a(BIP)84317973 035 $a(BIP)83220888 035 $a(DE-He213)978-3-030-98319-2 035 $a(EXLCZ)9922892318000041 100 $a20220520d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMonte Carlo and Quasi-Monte Carlo Methods $eMCQMC 2020, Oxford, United Kingdom, August 10?14 /$fedited by Alexander Keller 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (315 pages) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v387 311 08$aPrint version: Keller, Alexander Monte Carlo and Quasi-Monte Carlo Methods Cham : Springer International Publishing AG,c2022 9783030983185 320 $aIncludes bibliographical references and index. 327 $aThe 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. 330 $aThis volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v387 606 $aStatistics 606 $aNumber theory 606 $aFunctional analysis 606 $aMathematical optimization 606 $aStatistics 606 $aNumber Theory 606 $aFunctional Analysis 606 $aOptimization 615 0$aStatistics. 615 0$aNumber theory. 615 0$aFunctional analysis. 615 0$aMathematical optimization. 615 14$aStatistics. 615 24$aNumber Theory. 615 24$aFunctional Analysis. 615 24$aOptimization. 676 $a518.282 702 $aKeller$b Alexander$f1968- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910574057803321 996 $aMonte Carlo and quasi-Monte Carlo methods$91523473 997 $aUNINA