Continuous-time Markov Diffusion

Continuous-Time Markov Diffusion is a stochastic process that belongs to the class of continuous-time Markov processes and is distinguished by its continuous state space evolution governed by diffusion dynamics, wherein the future state depends only on the present state and transitions are driven by infinitesimal increments characterized by drift and diffusion coefficients.

15

Publications

439

Citations

33

Authors

26

Institutions

Publications per year

2017–2026

3

Authors

33

  1. AD
    Andrew D. Barbour

    University of Zurich, Switzerland

    3 publications · 169 citations

    3

    h-index

  2. RV
    Ricardo Vélez

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 74 citations

    1

    h-index

  3. GP
    Geoffrey Pascoe

    University of Oxford, United Kingdom

    1 publications · 25 citations

    1

    h-index

  4. ME
    Mark Edward Lewis

    Cornell University, United States

    1 publications · 74 citations

    1

    h-index

  5. MV
    M. Vigelius

    The University of Melbourne, Australia

    1 publications · 25 citations

    1

    h-index

1–5 of 33

Venues

  1. Advances in Applied Probability

    AAP · 2 publications · 115 citations

    2

    h-index

  2. 1

    h-index

  3. PLoS ONE

    1 publications · 25 citations

    1

    h-index

  4. Wuhan University Journal of Natural Sciences

    1 publications · 10 citations

    1

    h-index

  5. Annals of Nuclear Energy

    1 publications · 12 citations

    1

    h-index

1–5