stan::mcmc::dense_e_static_uniform< Model, BaseRNG > Class Template Reference

Hamiltonian Monte Carlo implementation that uniformly samples from trajectories with a static integration time with a Gaussian-Euclidean disintegration and dense metric. More...

#include <dense_e_static_uniform.hpp>

Inheritance diagram for stan::mcmc::dense_e_static_uniform< Model, BaseRNG >:

Public Member Functions
	dense_e_static_uniform (const Model &model, BaseRNG &rng)
Public Member Functions inherited from stan::mcmc::base_static_uniform< Model, dense_e_metric, expl_leapfrog, BaseRNG >
	base_static_uniform (const Model &model, BaseRNG &rng)
	~base_static_uniform ()
sample	transition (sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
void	get_sampler_param_names (std::vector< std::string > &names)
void	get_sampler_params (std::vector< double > &values)
void	set_nominal_stepsize_and_T (const double e, const double t)
void	set_nominal_stepsize_and_L (const double e, const int l)
void	set_T (const double t)
void	set_nominal_stepsize (const double e)
double	get_T ()
int	get_L ()
Public Member Functions inherited from stan::mcmc::base_hmc< Model, dense_e_metric, expl_leapfrog, BaseRNG >
	base_hmc (const Model &model, BaseRNG &rng)
void	write_sampler_state (interface_callbacks::writer::base_writer &writer)
void	get_sampler_diagnostic_names (std::vector< std::string > &model_names, std::vector< std::string > &names)
void	get_sampler_diagnostics (std::vector< double > &values)
void	seed (const Eigen::VectorXd &q)
void	init_hamiltonian (interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
void	init_stepsize (interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
dense_e_metric< Model, BaseRNG >::PointType &	z ()
double	get_nominal_stepsize ()
double	get_current_stepsize ()
virtual void	set_stepsize_jitter (double j)
double	get_stepsize_jitter ()
void	sample_stepsize ()
Public Member Functions inherited from stan::mcmc::base_mcmc
	base_mcmc ()
virtual	~base_mcmc ()

Additional Inherited Members
Protected Member Functions inherited from stan::mcmc::base_static_uniform< Model, dense_e_metric, expl_leapfrog, BaseRNG >
void	update_L_ ()
Protected Attributes inherited from stan::mcmc::base_static_uniform< Model, dense_e_metric, expl_leapfrog, BaseRNG >
double	T_
int	L_
double	energy_
Protected Attributes inherited from stan::mcmc::base_hmc< Model, dense_e_metric, expl_leapfrog, BaseRNG >
dense_e_metric< Model, BaseRNG >::PointType	z_
expl_leapfrog< dense_e_metric< Model, BaseRNG > >	integrator_
dense_e_metric< Model, BaseRNG >	hamiltonian_
BaseRNG &	rand_int_
boost::uniform_01< BaseRNG &>	rand_uniform_
double	nom_epsilon_
double	epsilon_
double	epsilon_jitter_

Detailed Description

template<typename Model, class BaseRNG>
class stan::mcmc::dense_e_static_uniform< Model, BaseRNG >

Hamiltonian Monte Carlo implementation that uniformly samples from trajectories with a static integration time with a Gaussian-Euclidean disintegration and dense metric.

Definition at line 17 of file dense_e_static_uniform.hpp.

Constructor & Destructor Documentation

dense_e_static_uniform()

template<typename Model , class BaseRNG >

stan::mcmc::dense_e_static_uniform< Model, BaseRNG >::dense_e_static_uniform ( const Model &  model, BaseRNG &  rng  )

inline

Definition at line 21 of file dense_e_static_uniform.hpp.

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The documentation for this class was generated from the following file:

• src/stan/mcmc/hmc/static_uniform/dense_e_static_uniform.hpp