Bayesian Conversion Analysis

Bayesian Conversion Analysis is a statistical methodology for estimating and updating conversion rates using Bayesian inference, distinguished by its incorporation of prior beliefs and sequential probability updating in contrast to frequentist approaches.

2

Publications

248

Citations

3

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

3

  1. JA
    Jason A. Duan

    The University of Texas at Austin, United States

    2 publications · 248 citations

    2

    h-index

  2. LX
    Lizhen Xu

    Georgia Institute of Technology, United States

    2 publications · 248 citations

    2

    h-index

  3. AB
    Andrew B. Whinston

    The University of Texas at Austin, United States

    2 publications · 248 citations

    2

    h-index

1–3 of 3

Institutions

2

  1. The University of Texas at Austin

    Austin, United States

    2 h-index

    4 publications

    496 citations

  2. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    2 publications

    248 citations

1–2 of 2

Venues

  1. Management Science

    1 publications · 205 citations

    1

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 43 citations

    1

    h-index

1–2