Level-2 Large Deviations

Level-2 Large Deviations is a large deviation principle concerning the asymptotic behavior of empirical measures associated with stochastic processes, distinguished by its focus on the probability of deviations of time-averaged observables or occupation measures from their typical limits in the space of probability distributions.

119

Publications

10.7K

Citations

176

Authors

162

Institutions

Publications per year

2017–2026

20

Variants

Level-2 Large Deviation PrincipleLevel-2 Ldp

Authors

176

  1. KC
    Kam Chuen Yuen

    University of Hong Kong, Hong Kong SAR China

    3 publications · 151 citations

    3

    h-index

  2. JR
    Jiagang Ren

    Huazhong University of Science and Technology, China

    3 publications · 55 citations

    3

    h-index

  3. JZ
    Jianliang Zhai

    University of Science and Technology of China, China

    3 publications · 81 citations

    3

    h-index

  4. PD
    Paul Dupuis

    Brown University, United States

    3 publications · 120 citations

    3

    h-index

  5. YC
    Yiqing Chen

    University of Hong Kong, Hong Kong SAR China

    3 publications · 151 citations

    3

    h-index

1–5 of 176

Venues

  1. Journal of Statistical Physics

    9 publications · 625 citations

    9

    h-index

  2. Stochastic Processes and their Applications

    9 publications · 455 citations

    9

    h-index

  3. Statistics & Probability Letters

    7 publications · 142 citations

    7

    h-index

  4. Journal of Theoretical Probability

    6 publications · 182 citations

    6

    h-index

  5. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 6 publications · 142 citations

    6

    h-index

1–5