<b>Bambi</b>: A Simple Interface for Fitting Bayesian Linear Models in <i>Python</i>

نویسندگان

چکیده

The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result a variety methodological advances with faster cheaper hardware as well development new software tools. Here we introduce an open source Python package named Bambi (BAyesian Model Building Interface) that built on top PyMC probabilistic programming framework ArviZ for exploratory analysis models. makes it easy to specify complex generalized linear hierarchical models using formula notation similar those found R. We demonstrate Bambi's versatility ease use few examples spanning range common including multiple regression, logistic mixed-effects modeling crossed group specific effects. Additionally discuss how automatic priors are constructed. Finally, conclude discussion our plans future Bambi.

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ژورنال

عنوان ژورنال: Journal of Statistical Software

سال: 2022

ISSN: ['1548-7660']

DOI: https://doi.org/10.18637/jss.v103.i15