Bayesian Analysis with Python – Second Edition is a step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ. A modern, practical and computational approach to Bayesian statistical modeling. (Limited-time offer)
Topics included: Thinking Probabilistically • Programming Probabilistically • Modeling with Linear Regression • Generalizing Linear Models • Model Comparison • Mixture Models • Gaussian Processes • Inference Engines • Where To Go Next?
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Publisher: Packt Publishing
Published: December 2018
File size: –
Number of pages: 356
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