Pathwise Large Deviations

Pathwise Large Deviations is a theoretical framework in large deviation theory that characterizes the asymptotic behavior of entire sample paths of stochastic processes by quantifying the exponential decay rates of probabilities associated with deviations of trajectories from typical paths, distinguished from pointwise or static large deviation analyses by its focus on space-time continuum fluctuations.

243

Publications

15.1K

Citations

370

Authors

273

Institutions

Publications per year

2017–2026

23

Authors

370

  1. TZ
    Tusheng Zhang

    University of Manchester, United Kingdom

    7 publications · 246 citations

    7

    h-index

  2. PD
    Paul Dupuis

    Brown University, United States

    5 publications · 266 citations

    5

    h-index

  3. AA
    A. A. Mogulskiĭ

    Sobolev Institute of Mathematics, Russia

    5 publications · 143 citations

    5

    h-index

  4. XZ
    Xicheng Zhang

    Rensselaer Polytechnic Institute, United States

    5 publications · 357 citations

    5

    h-index

  5. JR
    Jiagang Ren

    Huazhong University of Science and Technology, China

    4 publications · 164 citations

    4

    h-index

1–5 of 370

Venues

  1. Stochastic Processes and their Applications

    40 publications · 2.2K citations

    25

    h-index

  2. Probability Theory and Related Fields

    29 publications · 981 citations

    21

    h-index

  3. Communications in Mathematical Physics

    12 publications · 579 citations

    12

    h-index

  4. Statistics & Probability Letters

    14 publications · 341 citations

    12

    h-index

  5. Journal of Theoretical Probability

    8 publications · 171 citations

    8

    h-index

1–5