Bayesian Population Interpolation

Bayesian Population Interpolation is a statistical modeling framework that integrates prior knowledge and uncertainty quantification through Bayesian inference to estimate population distributions across spatial or temporal domains.

1

Publications

11

Citations

2

Authors

1

Institutions

Publications per year

2017–2026

0

Authors

2

  1. MR
    Mohammadreza Rajabalinejad

    Delft University of Technology, Netherlands

    1 publications · 11 citations

    1

    h-index

  2. TM
    Tew‐Fik Mahdi

    Polytechnique Montréal, Canada

    1 publications · 11 citations

    1

    h-index

1–2 of 2

Institutions

1

  1. Polytechnique Montréal

    Montreal, Canada

    1 h-index

    2 publications

    22 citations

1–1 of 1

Venues

  1. Natural Hazards

    1 publications · 11 citations

    1

    h-index

1–1