Showing 5 of 5 projects
A Python tutorial and cookbook for implementing Bayesian modeling techniques using PyMC3.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
An R package for estimating causal effects in time series using Bayesian structural time-series models.
A Python library for exploratory analysis, diagnostics, and visualization of Bayesian models.
Python code and examples for Bayesian statistics from the book 'Think Bayes: Bayesian Statistics Made Simple'.
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