ArviZ (original) (raw)

ArviZ (/ˈɑːrvɪz/ AR-vees) is a Python package for exploratory analysis of Bayesian models. When working with Bayesian models there are a series of related tasks that need to be addressed besides inference itself: * Diagnoses of the quality of the inference, this is needed when using numerical methods such as Markov chain Monte Carlo techniques * Model criticism, including evaluations of both model assumptions and model predictions * Comparison of models, including model selection or model averaging * Preparation of the results for a particular audience