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Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology.
About this course
Introduction to modelling in epidemiology
Probability distributions and random variables
Bayesian inference
The Monte Carlo method
Markov Chain Monte Carlo
Probabilistic Programming
Introduction to NumPyro
JAX patterns
Focus on priors
Bayesian workflow
Model comparison
Generalized linear models
Logistic and other regressions
Hierarchical modelling
Time series modelling
Gaussian Processes: priors
Gaussian processes: inference
Spatial statistics
Geostatistics and kriging
Areal data modelling
Log-Gaussian Cox Process (LGCP)
Ordinary Differential Equations
Infectious disease modelling
Agent-based models (ABMs)
Upcoming chapters
Acknowledgements and links
Bibilography
Repository
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