Articulo
Fully nonparametric regression for bounded data using dependent bernstein polynomials
Fecha
2017Registro en:
1141057
WOS:000411424400028
Institución
Resumen
We propose a novel class of probability models for sets of predictor-dependent probability distributions with bounded domain. The proposal extends the DirichletBernstein prior for single density estimation, by using dependent stick-breaking processes. A