Stochastic Booking Models

Stochastic Booking Models is a mathematical framework within booking curve analysis that incorporates probabilistic methods to model and forecast uncertain booking behaviors over time, distinguishing it from deterministic approaches by explicitly accounting for randomness and variability in demand patterns.

20

Publications

1.5K

Citations

50

Authors

36

Institutions

Publications per year

2017–2026

5

Authors

50

  1. AJ
    Anton J. Kleywegt

    Georgia Institute of Technology, United States

    2 publications · 47 citations

    2

    h-index

  2. SL
    Shelby L. Brumelle

    University of British Columbia, Canada

    2 publications · 249 citations

    2

    h-index

  3. PY
    Peng-Sheng You

    National Chiayi University, Taiwan

    1 publications · 91 citations

    1

    h-index

  4. MW
    M W Tretheway

    University of British Columbia, Canada

    1 publications · 178 citations

    1

    h-index

  5. SC
    Sungjin Cho

    University of Maryland, College Park, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 50

Venues

  1. Operations Research

    4 publications · 477 citations

    4

    h-index

  2. Production and Operations Management

    POMS · 3 publications · 51 citations

    3

    h-index

  3. Transportation Science

    3 publications · 347 citations

    3

    h-index

  4. 2

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 22 citations

    1

    h-index

1–5