Bayesian Statistics
Showing 12 of 12 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'.
A Bayesian marketing analytics toolbox for Media Mix Modeling (MMM), Customer Lifetime Value (CLV), and customer choice analysis.
Python implementations of various topic modeling algorithms including LDA, collaborative topic models, and hierarchical Dirichlet processes.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
A Swift library providing neural networks, machine learning algorithms, and AI data structures for iOS and macOS development.
A parallel Monte Carlo and machine learning library for scientific inference, available in Python, MATLAB, Fortran, C++, and C.
Interactive lecture notes on probabilistic topic models using Jupyter notebooks, covering LDA, Dirichlet processes, and inference methods.
An R package implementing a statistical model for analyzing communication network data, such as email interactions.
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