Concepedia

Bayesian Booking Models

Bayesian Booking Models is a predictive modeling framework within revenue management that integrates Bayesian statistical methods to dynamically update booking forecasts by combining prior demand expectations with observed reservation data, thereby enabling adaptive capacity control under uncertainty.

1

Publications

79

Citations

5

Authors

4

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

5

  1. DX
    Daisy X.F. Fan

    Bournemouth University, United Kingdom

    1 publications · 79 citations

    1

    h-index

  2. RT
    Richard T.R. Qiu

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 79 citations

    1

    h-index

  3. AL
    Anyu Liu

    University of Surrey, United Kingdom

    1 publications · 79 citations

    1

    h-index

  4. BY
    Bin YingRui Yao

    Bournemouth University, United Kingdom

    1 publications · 79 citations

    1

    h-index

  5. DB
    Dimitrios Buhalis

    Bournemouth University, United Kingdom

    1 publications · 79 citations

    1

    h-index

1–5 of 5

Institutions

4

  1. University of Surrey

    Guildford, United Kingdom

    1 h-index

    1 publications

    79 citations

  2. University of Macau

    Macao, Macao

    1 h-index

    1 publications

    79 citations

  3. Bournemouth University

    Poole, United Kingdom

    1 h-index

    2 publications

    158 citations

  4. Liaoning University

    Shenyang, China

    1 h-index

    1 publications

    79 citations

1–4 of 4

Venues

  1. 1

    h-index

1–1