Simulation Of Multi-state Processes

Simulation of Multi-State Processes is a computational methodology that models the evolution of entities transitioning through multiple distinct states over time according to specified probabilistic rules, distinguishing it from simpler simulation techniques by its explicit representation of complex state dynamics and temporal dependencies in multi-state systems.

39

Publications

2.2K

Citations

90

Authors

55

Institutions

Publications per year

2017–2026

4

Authors

90

  1. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    3 publications · 192 citations

    3

    h-index

  2. PH
    Philip Heidelberger

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 72 citations

    2

    h-index

  3. LP
    Luca Podofillini

    Paul Scherrer Institute, Switzerland

    2 publications · 159 citations

    2

    h-index

  4. PS
    Perwez Shahabuddin

    Columbia University, United States

    2 publications · 81 citations

    2

    h-index

  5. BR
    Ben Rickayzen

    City, University of London, United Kingdom

    1 publications · 12 citations

    1

    h-index

1–5 of 90

Venues

  1. Reliability Engineering & System Safety

    4 publications · 242 citations

    4

    h-index

  2. The Journal of Chemical Physics

    2 publications · 35 citations

    2

    h-index

  3. IEEE Communications Letters

    1 publications · 15 citations

    1

    h-index

  4. Oikos

    1 publications · 16 citations

    1

    h-index

  5. Winter Simulation Conference

    Conference · 1 publications · 19 citations

    1

    h-index

1–5