• DocumentCode
    2091151
  • Title

    An Algorithm of Coupling from the Past with Directional Threshold

  • Author

    Shen, Linfeng ; Wang, Haihui ; Qin, Shiyin

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    This paper proposed a new algorithm of Coupling from the Past (CFTP) with directional threshold. CFTP, also called Exact Sampling, established in 1996 by Propp and Wilson, aimed that it would eliminate the need to compute Markov chain convergence rate for the quality control. CFTP was used in mixture models of Monte Carlo and worked well in low computation complexity problems. The Coupling from the Past was appealing for its invariant structure but in many applications the process of coupling was not always an independent process. And this suboptimal algorithm would easily be trapped into local trap and its convergence was much affected. In this paper a new algorithm with directional threshold is presented and supported from simulation experiments; comparison of computing results with CFTP shows improvement of convergence out of the two sets of samples, with different total samples number respectively.
  • Keywords
    Markov processes; Monte Carlo methods; Markov chain convergence rate; Monte Carlo models; coupling algorithm; directional threshold; quality control; Automation; Computational modeling; Computer science; Convergence; Mathematics; Monte Carlo methods; Paper technology; Quality control; Sampling methods; Space technology; Coupling from the past; Exact Sampling; Markov Chain Monte Carlo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.90
  • Filename
    4731394