A common framework for implementing and using log densities for inference.
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Updated
Jul 19, 2023 - Julia
A common framework for implementing and using log densities for inference.
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
Bayesian Information Gap Decision Theory
Hidden Markov Model Estimated with MCMC in Julia with option for parallel estimation.
Exercises and experiments with Bayesian statistics and markov chains.
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