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Stan
2.10.0
probability, sampling & optimization
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Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration time with a Gaussian-Euclidean disintegration and unit metric and adaptive step size. More...
#include <adapt_unit_e_static_hmc.hpp>
Additional Inherited Members | |
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void | update_L_ () |
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double | T_ |
int | L_ |
double | energy_ |
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unit_e_metric< Model, BaseRNG >::PointType | z_ |
expl_leapfrog< unit_e_metric< Model, BaseRNG > > | integrator_ |
unit_e_metric< Model, BaseRNG > | hamiltonian_ |
BaseRNG & | rand_int_ |
boost::uniform_01< BaseRNG & > | rand_uniform_ |
double | nom_epsilon_ |
double | epsilon_ |
double | epsilon_jitter_ |
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stepsize_adaptation | stepsize_adaptation_ |
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bool | adapt_flag_ |
Hamiltonian Monte Carlo implementation using the endpoint of trajectories with a static integration time with a Gaussian-Euclidean disintegration and unit metric and adaptive step size.
Definition at line 17 of file adapt_unit_e_static_hmc.hpp.
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inline |
Definition at line 20 of file adapt_unit_e_static_hmc.hpp.
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inline |
Definition at line 23 of file adapt_unit_e_static_hmc.hpp.
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inlinevirtual |
Reimplemented from stan::mcmc::base_adapter.
Definition at line 43 of file adapt_unit_e_static_hmc.hpp.
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inlinevirtual |
Implements stan::mcmc::base_mcmc.
Definition at line 26 of file adapt_unit_e_static_hmc.hpp.