Piecewise Deterministic Markov Processes

Piecewise Deterministic Markov Processes is a stochastic process belonging to the class of Markov processes, distinguished by its evolution through deterministic trajectories interrupted by random jumps at which the state changes discontinuously according to a transition kernel.

205

Publications

10.6K

Citations

301

Authors

242

Institutions

Publications per year

2017–2026

46

Variants

PdmpPdmps

Authors

301

  1. FD
    François Dufour

    Institut de Mathématiques de Bordeaux, France

    19 publications · 488 citations

    14

    h-index

  2. OC
    O.L.V. Costa

    Universidade de São Paulo, Brazil

    15 publications · 454 citations

    12

    h-index

  3. YT
    Yen Ting Lin

    Los Alamos National Laboratory, United States

    6 publications · 245 citations

    6

    h-index

  4. AT
    A. T. Bharucha-Reid

    Wayne State University, United States

    5 publications · 448 citations

    5

    h-index

  5. TG
    Tobias Galla

    University of Manchester, United Kingdom

    5 publications · 214 citations

    5

    h-index

1–5 of 301

Venues

  1. The Annals of Applied Probability

    11 publications · 473 citations

    11

    h-index

  2. Advances in Applied Probability

    AAP · 11 publications · 465 citations

    11

    h-index

  3. SIAM Journal on Control and Optimization

    7 publications · 474 citations

    7

    h-index

  4. Stochastics and stochastics reports

    6 publications · 130 citations

    6

    h-index

  5. 5

    h-index

1–5