Articulo
A short tutorial on bayesian nonparametrics
Journal of Statistical Research
Registro en:
1141193
1141193
Autor
Muller, Peter
Xu, Yanxun
Jara-Vallejos, Alejandro Antonio
Institución
Resumen
Bayesian nonparametric (BNP) models are prior models for infinite-dimensional parameters, such as an unknown probability measure F or an unknown regression mean function f. We review some of the most widely used BNP priors, including the Dirichlet process Regular FONDECYT FONDECYT