Stan  2.10.0
probability, sampling & optimization
adapt_dense_e_static_uniform.hpp
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1 #ifndef STAN_MCMC_HMC_STATIC_UNIFORM_ADAPT_DENSE_E_STATIC_UNIFORM_HPP
2 #define STAN_MCMC_HMC_STATIC_UNIFORM_ADAPT_DENSE_E_STATIC_UNIFORM_HPP
3 
6 
7 namespace stan {
8  namespace mcmc {
15  template <typename Model, class BaseRNG>
17  public dense_e_static_uniform<Model, BaseRNG>,
18  public stepsize_covar_adapter {
19  public:
20  adapt_dense_e_static_uniform(const Model& model, BaseRNG& rng):
21  dense_e_static_uniform<Model, BaseRNG>(model, rng),
22  stepsize_covar_adapter(model.num_params_r()) { }
23 
25 
26  sample
27  transition(sample& init_sample,
30  sample s
32  info_writer,
33  error_writer);
34 
35  if (this->adapt_flag_) {
37  s.accept_stat());
38 
39  bool update = this->covar_adaptation_.learn_covariance
40  (this->z_.mInv, this->z_.q);
41 
42  if (update) {
43  this->init_stepsize(info_writer, error_writer);
44  this->stepsize_adaptation_.set_mu(log(10 * this->nom_epsilon_));
46  }
47  }
48  return s;
49  }
50 
54  }
55  };
56  } // mcmc
57 } // stan
58 
59 #endif
void complete_adaptation(double &epsilon)
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
double accept_stat() const
Definition: sample.hpp:41
Probability, optimization and sampling library.
Hamiltonian Monte Carlo implementation that uniformly samples from trajectories with a static integra...
void learn_stepsize(double &epsilon, double adapt_stat)
adapt_dense_e_static_uniform(const Model &model, BaseRNG &rng)
bool learn_covariance(Eigen::MatrixXd &covar, const Eigen::VectorXd &q)
base_writer is an abstract base class defining the interface for Stan writer callbacks.
Definition: base_writer.hpp:20
virtual void disengage_adaptation()
Hamiltonian Monte Carlo implementation that uniformly samples from trajectories with a static integra...
void init_stepsize(interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)
Definition: base_hmc.hpp:64
sample transition(sample &init_sample, interface_callbacks::writer::base_writer &info_writer, interface_callbacks::writer::base_writer &error_writer)

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