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Stan
2.14.0
probability, sampling & optimization
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#include <stan/mcmc/hmc/hamiltonians/softabs_point.hpp>#include <stan/mcmc/hmc/hamiltonians/softabs_metric.hpp>#include <stan/mcmc/hmc/integrators/impl_leapfrog.hpp>#include <stan/mcmc/hmc/static/base_static_hmc.hpp>Go to the source code of this file.
Classes | |
| class | stan::mcmc::softabs_static_hmc< Model, BaseRNG > |
| Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration time with a Gaussian-Riemannian disintegration and SoftAbs metric. More... | |
Namespaces | |
| stan | |
| Probability, optimization and sampling library. | |
| stan::mcmc | |
| Markov chain Monte Carlo samplers. | |