Skorokhod Embedding

Skorokhod Embedding is a probabilistic method in stochastic process theory that embeds a given probability distribution into a Brownian motion path via a carefully constructed stopping time, thereby enabling the study of distributional properties through pathwise constructions.

62

Publications

2.9K

Citations

62

Authors

46

Institutions

Publications per year

2017–2026

8

Variants

Skorokhod Embedding Problem

Authors

62

  1. AM
    Alexander M. G. Cox

    University of Bath, United Kingdom

    8 publications · 309 citations

    8

    h-index

  2. NT
    Nizar Touzi

    École Polytechnique, France

    8 publications · 218 citations

    8

    h-index

  3. DH
    David Hobson

    University of Bath, United Kingdom

    7 publications · 318 citations

    7

    h-index

  4. JO
    Jan Obłój

    University of Oxford, United Kingdom

    5 publications · 338 citations

    5

    h-index

  5. MB
    Mathias Beiglböck

    University of Vienna, Austria

    4 publications · 207 citations

    4

    h-index

1–5 of 62

Venues

  1. The Annals of Applied Probability

    9 publications · 435 citations

    9

    h-index

  2. The Annals of Probability

    5 publications · 304 citations

    5

    h-index

  3. Stochastic Processes and their Applications

    4 publications · 95 citations

    4

    h-index

  4. Journal of Applied Probability

    JAP · 3 publications · 82 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 69 citations

    3

    h-index

1–5