IMASL   20939
INSTITUTO DE MATEMATICA APLICADA DE SAN LUIS "PROF. EZIO MARCHI"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Bayesian modeling with PyMC3 and ArviZ
Autor/es:
MARTÍN OSVALDO A.
Lugar:
Córdoba
Reunión:
Conferencia; PyData Córdoba; 2018
Resumen:
PyMC3 is a Python module for probabilistic programming. ArviZ is a Python package for exploratory analysis of Bayesian models. I will show how to build, solve and check models in PyMC3 with the help of ArviZ.