Prior Probability Effects

Prior Probability Effects is a theoretical construct in Signal Detection Theory that specifies how the perceived likelihood of a signal's occurrence, independent of sensory evidence, systematically biases decision criteria toward responding more frequently to expected stimuli.

436

Publications

31K

Citations

1.2K

Authors

577

Institutions

Publications per year

2017–2026

100

Authors

1.2K

  1. JN
    Jean‐Paul Noel

    New York University, United States

    5 publications · 408 citations

    5

    h-index

  2. SY
    Shihao Yan

    UNSW Sydney, Australia

    4 publications · 217 citations

    4

    h-index

  3. MJ
    Miles J. Wells

    University College London, United Kingdom

    4 publications · 371 citations

    4

    h-index

  4. WY
    Weiwei Yang

    PLA Army Engineering University, China

    4 publications · 217 citations

    4

    h-index

  5. NB
    Niccolò Bonacchi

    Champalimaud Foundation, Portugal

    4 publications · 371 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Journal of Experimental Psychology

    11 publications · 1K citations

    11

    h-index

  2. Medical Decision Making

    MDM · 8 publications · 341 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 8 publications · 239 citations

    8

    h-index

  4. Psychophysiology

    8 publications · 2K citations

    8

    h-index

  5. Organizational Behavior and Human Performance

    8 publications · 326 citations

    8

    h-index

1–5