Optimal Stopping For Diffusions

Optimal Stopping for Diffusions is a mathematical framework within stochastic control theory that determines the optimal time to take a given action in order to maximize or minimize an expected reward or cost functional associated with a continuous-time diffusion process.

88

Publications

7.6K

Citations

101

Authors

79

Institutions

Publications per year

2017–2026

9

Authors

101

  1. GP
    Goran Peškir

    Aarhus University, Denmark

    5 publications · 237 citations

    5

    h-index

  2. IK
    Ioannis Karatzas

    Columbia University, United States

    5 publications · 370 citations

    5

    h-index

  3. PV
    Pavel V. Gapeev

    London School of Economics and Political Science, United Kingdom

    5 publications · 113 citations

    5

    h-index

  4. AN
    Albert N. Shiryaev

    Steklov Mathematical Institute, Russia

    4 publications · 131 citations

    4

    h-index

  5. LH
    Luis H. R. Alvarez

    University of Turku, Finland

    4 publications · 249 citations

    4

    h-index

1–5 of 101

Venues

  1. SIAM Journal on Control and Optimization

    11 publications · 448 citations

    10

    h-index

  2. The Annals of Applied Probability

    8 publications · 363 citations

    8

    h-index

  3. Stochastics

    7 publications · 185 citations

    7

    h-index

  4. Advances in Applied Probability

    AAP · 6 publications · 155 citations

    6

    h-index

  5. Theory of Probability and Its Applications

    5 publications · 116 citations

    5

    h-index

1–5