Parallel Statistical Simulation

Parallel Statistical Simulation is a computational framework that belongs to the class of parallel numerical methods, distinguished by its use of concurrent stochastic processes to estimate statistical quantities through the simultaneous execution of multiple interdependent simulation trajectories.

63

Publications

2.6K

Citations

173

Authors

87

Institutions

Publications per year

2017–2026

10

Authors

173

  1. IN
    Ioanis Nikolaidis

    University of Alberta, Canada

    2 publications · 50 citations

    2

    h-index

  2. ZC
    Zhesi Cui

    China University of Geosciences, China

    2 publications · 42 citations

    2

    h-index

  3. AC
    Anne Cori

    Imperial College London, United Kingdom

    2 publications · 33 citations

    2

    h-index

  4. GG
    Guangbao Guo

    Shandong University of Technology, China

    2 publications · 41 citations

    2

    h-index

  5. FG
    Fernando Guntoro

    National Centre for Infectious Diseases, Singapore

    2 publications · 33 citations

    2

    h-index

1–5 of 173

Venues

  1. Computers & Geosciences

    CAGEO · 4 publications · 199 citations

    4

    h-index

  2. Journal of Statistical Software

    JSS · 3 publications · 616 citations

    3

    h-index

  3. 2

    h-index

  4. Computational Economics

    2 publications · 64 citations

    2

    h-index

  5. Wellcome Open Research

    2 publications · 33 citations

    2

    h-index

1–5