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Title & Speakers Event
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

ArviZ for visualization and diagnostics; related packages (Bambi, PyMC-experimental); finding and using PyMC example notebooks; community resources and support channels.

pymc arviz bambi pymc-experimental
Future Directions 2025-08-12 · 16:00
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

How AI/LLMs are changing PyMC workflows; PyMC's development roadmap; opportunities for contribution.

pymc ai/llms open-source development
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

Overview of PyMC and its role in the Python data science ecosystem; understanding probabilistic vs Bayesian approaches; a survey of the probabilistic programming landscape; real-world applications and case studies.

pymc arviz Python bayesian statistics
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

Addressing frequently asked questions; debugging convergence issues; understanding and fixing divergences; performance optimization tips.

pymc arviz bayesian statistics performance optimization
PyMC Fundamentals 2025-08-12 · 16:00
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

Model contexts and random variables; prior and likelihood specification; working with observed data; PyMC's relationship with ArviZ.

pymc arviz Python bayesian statistics
Chris Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs

This one-hour tutorial introduces new users to version 5 of PyMC, a powerful Python, open source library for probabilistic programming and Bayesian statistical modeling. Participants will learn the fundamentals of PyMC, best practices for installation and setup, and gain hands-on experience building their first Bayesian model.

pymc arviz bambi pymc-experimental
[Online] A Tutorial for Getting Started with PyMC
Building Your First Model 2025-08-12 · 16:00
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

Hands-on example: Bayesian linear regression; prior predictive checks; posterior sampling with NUTS; basic model diagnostics; posterior predictive checks.

pymc nuts arviz Python
Christopher Fonnesbeck – Principal Quantitative Analyst @ PyMC Labs; Adjunct Associate Professor, Vanderbilt University Medical Center

Recommended installation procedure; PyMC's computational backends; troubleshooting common installation issues; setting up development environments.

pymc Python software installation
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