Articulo
Theory and computations for the dirichlet process and related models: an overview
International Journal of Approximate Reasoning
Registro en:
1141193
1141193
Autor
Jara-Vallejos, Alejandro Antonio
Institución
Resumen
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished by placing a prior distributi Regular FONDECYT FONDECYT