Truncated Priors

Truncated Priors is a type of prior distribution in Bayesian statistics that restricts the support of a standard prior by excluding values outside a specified range, thereby modifying the probability density through normalization over the restricted domain.

8

Publications

521

Citations

14

Authors

15

Institutions

Publications per year

2017–2026

0

Variants

Truncated Prior Distributions

Authors

14

  1. OV
    Olga Veksler

    Western University, Canada

    2 publications · 111 citations

    2

    h-index

  2. CL
    Chunguang Li

    Zhejiang University, China

    1 publications · 12 citations

    1

    h-index

  3. XW
    Xin Wei

    Nanjing University of Posts and Telecommunications, China

    1 publications · 12 citations

    1

    h-index

  4. XY
    Xin Yao

    University of Birmingham, United Kingdom

    1 publications · 66 citations

    1

    h-index

  5. DA
    David A. Wise

    Harvard University, United States

    1 publications · 229 citations

    1

    h-index

1–5 of 14

Venues

  1. Econometrica

    1 publications · 229 citations

    1

    h-index

  2. Journal of Signal Processing Systems

    1 publications · 16 citations

    1

    h-index

  3. IEEE Signal Processing Letters

    1 publications · 12 citations

    1

    h-index

  4. Clinical Trials

    1 publications · 25 citations

    1

    h-index

  5. International Journal of Forecasting

    1 publications · 62 citations

    1

    h-index

1–5