Random cubatures and quasi-Monte Carlo methods

被引:0
|
作者
Antonov, Anton A. [1 ]
Ermakov, Sergej M. [1 ]
机构
[1] St Petersburg State Univ, 7-9 Univ Skaya Nab, St Petersburg 199034, Russia
来源
MONTE CARLO METHODS AND APPLICATIONS | 2015年 / 21卷 / 03期
关键词
Monte Carlo; quasi-Monte Carlo; high-dimensional integration; stratified sampling; random cubature formulas; Sobol sequences;
D O I
10.1515/mcma-2015-0102
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We establish and examine the deep connection between highly stratified random cubature formulas and quasi-Monte Carlo methods. A class of such formulas, designed to exactly integrate the introduced generalized s-dimensional Haar system, is shown to have additional variance reduction compared to the known theoretical upper bound. We propose several equivalent expressions for the variance within the standard quasi-Monte Carlo setting. The theory of random cubatures is supplemented with both refined versions of known results and completely new facts.
引用
收藏
页码:179 / 187
页数:9
相关论文
共 50 条
  • [41] QUASI-MONTE CARLO INTEGRATION
    MOROKOFF, WJ
    CAFLISCH, RE
    JOURNAL OF COMPUTATIONAL PHYSICS, 1995, 122 (02) : 218 - 230
  • [42] Population Quasi-Monte Carlo
    Huang, Chaofan
    Joseph, V. Roshan
    Mak, Simon
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2022, 31 (03) : 695 - 708
  • [43] Quasi-Monte Carlo Software
    Choi, Sou-Cheng T.
    Hickernell, Fred J.
    Jagadeeswaran, Rathinavel
    McCourt, Michael J.
    Sorokin, Aleksei G.
    MONTE CARLO AND QUASI-MONTE CARLO METHODS, MCQMC 2020, 2022, 387 : 23 - 47
  • [44] Langevin Quasi-Monte Carlo
    Liu, Sifan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [45] IMPROVED MONTE CARLO AND QUASI-MONTE CARLO METHODS FOR THE PRICE AND THE GREEKS OF ASIAN OPTIONS
    Dingec, Kemal Dincer
    Hormann, Wolfgang
    PROCEEDINGS OF THE 2014 WINTER SIMULATION CONFERENCE (WSC), 2014, : 441 - 452
  • [46] Efficient Quasi-Monte Carlo Sampling for Quantum Random Walks
    Atanassov, E.
    Durchova, M.
    APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES (AMITANS 2020), 2020, 2302
  • [47] On quasi-Monte Carlo integrations
    Sobol, IM
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1998, 47 (2-5) : 103 - 112
  • [48] Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
    Joy, Geethu
    Huyck, Christian
    Yang, Xin-She
    COMPUTATIONAL SCIENCE, ICCS 2024, PT V, 2024, 14836 : 242 - 253
  • [49] Density Estimation by Monte Carlo and Quasi-Monte Carlo
    L'Ecuyer, Pierre
    Puchhammer, Florian
    MONTE CARLO AND QUASI-MONTE CARLO METHODS, MCQMC 2020, 2022, 387 : 3 - 21
  • [50] On Monte Carlo and Quasi-Monte Carlo for Matrix Computations
    Alexandrov, Vassil
    Davila, Diego
    Esquivel-Flores, Oscar
    Karaivanova, Aneta
    Gurov, Todor
    Atanassov, Emanouil
    LARGE-SCALE SCIENTIFIC COMPUTING, LSSC 2017, 2018, 10665 : 249 - 257