Path Variation

Path Variation is a mathematical construct in stochastic process theory that characterizes the total variation of sample paths of a Lévy process over a given time interval, distinguishing it by its role in classifying processes according to the regularity and accumulation properties of their jumps.

39

Publications

1.8K

Citations

79

Authors

48

Institutions

Publications per year

2017–2026

7

Authors

79

  1. JY
    Jinfeng Yi

    Jingdong (China), China

    2 publications · 88 citations

    2

    h-index

  2. RL
    R. L. Lamberts

    Kodak (United States), United States

    2 publications · 46 citations

    2

    h-index

  3. JV
    Jan Večeř

    Charles University, Czechia

    2 publications · 140 citations

    2

    h-index

  4. XG
    Xu Gong

    Xiamen University, China

    2 publications · 78 citations

    2

    h-index

  5. RJ
    Rong Jin

    Michigan State University, United States

    2 publications · 88 citations

    2

    h-index

1–5 of 79

Venues

  1. Applied Optics

    2 publications · 51 citations

    2

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  2. Quantitative Finance

    2 publications · 140 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 88 citations

    2

    h-index

  4. The Annals of Applied Probability

    2 publications · 139 citations

    2

    h-index

  5. 2

    h-index

1–5