Bayesian Multi-trait Models

Bayesian Multi-Trait Models is a statistical modeling framework that integrates Bayesian inference with multivariate genetic or phenotypic analysis to jointly estimate trait correlations and genetic effects by incorporating prior distributions and uncertainty in a hierarchical structure.

97

Publications

4.4K

Citations

393

Authors

168

Institutions

Publications per year

2017–2026

41

Authors

393

  1. JC
    José Crossa

    Centro Internacional de Mejoramiento de Maíz Y Trigo, Mexico

    8 publications · 532 citations

    8

    h-index

  2. FF
    Fabyano Fonseca e Silva

    Universidade Federal de Viçosa, Brazil

    7 publications · 265 citations

    7

    h-index

  3. OA
    Osval A. Montesinos‐López

    Universidad de Colima, Mexico

    7 publications · 499 citations

    7

    h-index

  4. AM
    Abelardo Montesinos‐López

    Universidad de Colima, Mexico

    7 publications · 499 citations

    7

    h-index

  5. RB
    Raysildo Barbosa Lôbo

    Universidade Estadual Paulista (Unesp), Brazil

    6 publications · 142 citations

    6

    h-index

1–5 of 393

Venues

  1. G3 Genes Genomes Genetics

    6 publications · 524 citations

    6

    h-index

  2. Genetics Selection Evolution

    GSE · 6 publications · 260 citations

    6

    h-index

  3. Livestock Science

    5 publications · 118 citations

    5

    h-index

  4. Heredity

    5 publications · 194 citations

    5

    h-index

  5. Journal of Dairy Science

    JDS · 4 publications · 139 citations

    4

    h-index

1–5