Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values

BACKGROUND: Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution. The method can avoid the random walk behavior to achieve a more effective and consistent exploration of the probabi...

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Detalles Bibliográficos
Autores principales: Nishio, Motohide, Arakawa, Aisaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902603/
https://www.ncbi.nlm.nih.gov/pubmed/31823719
http://dx.doi.org/10.1186/s12711-019-0515-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902603/
https://www.ncbi.nlm.nih.gov/pubmed/31823719
http://dx.doi.org/10.1186/s12711-019-0515-1

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