INVESTIGADORES
MARTIN Osvaldo Antonio
congresos y reuniones científicas
Título:
Kulprit: Kullback-Leibler projections for Bayesian model selection in Python
Autor/es:
YANN MCLATCHIE; MARTÍN OSVALDO A.; TOMÁS CAPRETTO; VEHTARI, AKI
Lugar:
Levi
Reunión:
Congreso; BayesComp; 2023
Resumen:
We present a Python package implementing projection predictive model selection for Bayesian regression models fit with Bambi.
