Itô Diffusion

Itô Diffusion is a continuous-time stochastic process defined by a solution to a stochastic differential equation driven by Brownian motion, characterized by drift and diffusion coefficients that specify its instantaneous mean and variance.

49

Publications

2.5K

Citations

80

Authors

65

Institutions

Publications per year

2017–2026

8

Variants

Itô Process

Authors

80

  1. MZ
    Mihail Zervos

    London School of Economics and Political Science, United Kingdom

    7 publications · 183 citations

    7

    h-index

  2. TC
    Timothy C. Johnson

    University of Illinois Urbana-Champaign, United States

    4 publications · 119 citations

    4

    h-index

  3. AJ
    Andrew Jack

    King's College London, United Kingdom

    2 publications · 38 citations

    2

    h-index

  4. EP
    Eckhard Platen

    University of Technology Sydney, Australia

    2 publications · 42 citations

    2

    h-index

  5. FP
    Frank Proske

    University of Oslo, Norway

    2 publications · 34 citations

    2

    h-index

1–5 of 80

Venues

  1. Stochastics

    3 publications · 57 citations

    3

    h-index

  2. Advances in Applied Probability

    AAP · 3 publications · 77 citations

    3

    h-index

  3. Mathematical Finance

    3 publications · 99 citations

    3

    h-index

  4. SIAM Journal on Control and Optimization

    3 publications · 232 citations

    3

    h-index

  5. The Annals of Applied Probability

    2 publications · 47 citations

    2

    h-index

1–5