Imagen de Portada
Código QR

Sampling Strategies for Fast Updating of Gaussian Markov Random Fields.

Gaussian Markov random fields (GMRFs) are popular for modeling dependence in large areal datasets due to their ease of interpretation and computational convenience afforded by the sparse precision matrices needed for random variable generation. Typically in Bayesian computation, GMRFs are updated jo...

Descripción completa

Publicado en:American Statistician Vol. 75; no. 1; pp. 52 - 66
Autores principales: Brown, D. Andrew, McMahan, Christopher S., Watson Self, Stella
Formato: Artículo
Publicado: Taylor & Francis Ltd Feb2021
Materias:
Gaussian Markov random fields
Random matrices
Random variables
Markov chain Monte Carlo
Sparse matrices
Gibbs sampling
Markov random fields
Acceso en línea:Ver este registro en EBSCOhost