Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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Updated
Dec 21, 2025 - Jupyter Notebook
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Eurostat NUTS dataset as JSON for web mapping
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A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
Tracking the spread of COVID-19 across NUTS3 (NUTS2 for PL and EL) regions for 26 European countries.
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Container with SSH server containing useful tools for testing
Dorling cartogram from NUTS regions with Eurostat statistics
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R and C++ code for performing posterior inference for Bayesian Conditional Transformation models illustrated for three different applications.
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