Probabilistic Attribution

Probabilistic Attribution is a marketing attribution model that belongs to the class of statistical inference methods and specifically differentiates itself by assigning likelihoods of conversion contribution to touchpoints using probabilistic algorithms rather than deterministic rules.

24

Publications

2.8K

Citations

98

Authors

50

Institutions

Publications per year

2017–2026

8

Variants

Probabilistic Attribution Modeling

Authors

98

  1. FE
    Friederike E. L. Otto

    University of Oxford, United Kingdom

    10 publications · 754 citations

    10

    h-index

  2. MA
    Myles Allen

    University of Oxford, United Kingdom

    4 publications · 205 citations

    4

    h-index

  3. SS
    Sebastian Sippel

    ETH Zurich, Switzerland

    3 publications · 179 citations

    3

    h-index

  4. RJ
    Rachel James

    University of Oxford, United Kingdom

    2 publications · 138 citations

    2

    h-index

  5. HR
    Hannah R. Parker

    University of Reading, United Kingdom

    2 publications · 138 citations

    2

    h-index

1–5 of 98

Venues

  1. Climatic Change

    5 publications · 382 citations

    5

    h-index

  2. Weather and Climate Extremes

    3 publications · 197 citations

    3

    h-index

  3. Human Development

    1 publications · 11 citations

    1

    h-index

  4. Ethics Policy & Environment

    1 publications · 27 citations

    1

    h-index

  5. Weather Climate and Society

    1 publications · 43 citations

    1

    h-index

1–5