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Bayesian capture-recapture inference with hidden Markov models and Nimble - classes 1, 2 and 3
Programming a statistical model in Python and Stan
All Machine Learning algorithms explained in 17 min
Bob Carpenter: Stan.jl - Statistical Modeling and Inference Made Easy
Douglas Bates: Adventures with Statistical Models and Sparse Matrices
SPM Tutorial 08 - Estimate Statistical Model
Bayesian capture-recapture inference with hidden Markov models and Nimble - classes 7, 8 and 9
CRRao: A unified framework for statistical models, Sourish Das
Topic modeling: Correlated Topic Models and Latent Dirichlet Allocation
SAMBA: an algorithm for efficient model building
Bayesian Modeling and Probabilistic Programming - Rob Zinkov
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Last Updated: August 19, 2026
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