#include <stan/interface_callbacks/writer/base_writer.hpp>
#include <boost/math/special_functions/fpclassify.hpp>
#include <stan/mcmc/hmc/base_hmc.hpp>
#include <stan/mcmc/hmc/hamiltonians/ps_point.hpp>
#include <algorithm>
#include <cmath>
#include <limits>
#include <string>
#include <vector>

Classes
class	stan::mcmc::base_xhmc< Model, Hamiltonian, Integrator, BaseRNG >
	Exhaustive Hamiltonian Monte Carlo (XHMC) with multinomial sampling. More...

Namespaces
	stan
	Probability, optimization and sampling library.

	stan::mcmc
	Markov chain Monte Carlo samplers.

Functions
void	stan::mcmc::stable_sum (double a1, double log_w1, double a2, double log_w2, double &sum_a, double &log_sum_w)
	a1 and a2 are running averages of the form $a1 = ( \sum_{n \in N1} w_{n} f_{n} ) / ( \sum_{n \in N1} w_{n} )$ $a2 = ( \sum_{n \in N2} w_{n} f_{n} ) / ( \sum_{n \in N2} w_{n} )$ and the weights are the respective normalizing constants $w1 = \sum_{n \in N1} w_{n}$ $w2 = \sum_{n \in N2} w_{n}.$ More...

Classes

Namespaces

Functions