Multidimensional Diffusions

Multidimensional Diffusions is a stochastic process model that extends univariate diffusion processes to higher-dimensional spaces, characterizing the joint, continuous-time evolution of multiple interdependent random variables governed by a system of coupled stochastic differential equations.

122

Publications

8K

Citations

178

Authors

144

Institutions

Publications per year

2017–2026

14

Variants

Multidimensional Diffusion Processes

Authors

178

  1. JR
    John R. King

    University of Nottingham, United Kingdom

    4 publications · 134 citations

    4

    h-index

  2. KS
    Ken‐iti Sato

    Keio University, Japan

    4 publications · 264 citations

    4

    h-index

  3. SW
    Shinzo Watanabe

    Kyoto University, Japan

    4 publications · 194 citations

    4

    h-index

  4. SP
    Soumik Pal

    University of Washington, United States

    3 publications · 65 citations

    3

    h-index

  5. RC
    Roman Cherniha

    Institute of Mathematics, Ukraine

    3 publications · 110 citations

    3

    h-index

1–5 of 178

Venues

  1. The Annals of Probability

    10 publications · 602 citations

    10

    h-index

  2. Probability Theory and Related Fields

    5 publications · 185 citations

    5

    h-index

  3. Stochastic Processes and their Applications

    4 publications · 209 citations

    4

    h-index

  4. SIAM Journal on Control and Optimization

    4 publications · 144 citations

    4

    h-index

  5. 3

    h-index

1–5