Intro to Bayesian Model Evaluation, Visualization, & Comparison Using ArviZ | SciPy 2019 Tutorial |

In this tutorial we will build your expertise in handling, diagnosing, and understanding Bayesian models. It is intended for Bayesian modelers that know how to fit models, but desire further understanding on model criticism and visualization techniques. We will cover how to work with model data, how to evaluate model fit and how to communicate results. Attendees learn how to 1. Evaluate and visualize models 2. Understand plots commonly encountered in Bayesian contexts Bayesian modeling expertise is not required. Knowledge of python syntax and Numpy/Pandas are helpful to complete activities in this tutorial. Even without coding experience attendees may find value in learning how to interpret Bayesian model diagnoses and visualizations created by others. Tutorial information may be found at www.scipy2019.scipy.org/tutorial-participant-instr… See the full SciPy 2019 playlist at    • SciPy 2019: Scientific Computing with...   Connect with us! ***************** twitter.com/enthought www.facebook.com/Enthought/ www.linkedin.com/company/enthought

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