An expository paper showing that Scala's functional abstractions, especially monads, support embedded probabilistic programming with Hamiltonian Monte Carlo, demonstrated on linear, mixture, and hierarchical models.
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Functional probabilistic programming for scalable Bayesian modelling
An expository paper showing that Scala's functional abstractions, especially monads, support embedded probabilistic programming with Hamiltonian Monte Carlo, demonstrated on linear, mixture, and hierarchical models.