hops::ExpectedSquaredJumpDistanceTuner Class Reference

#include <ExpectedSquaredJumpDistanceTuner.hpp>

Collaboration diagram for hops::ExpectedSquaredJumpDistanceTuner:

Classes
struct	param_type

Public Member Functions
	ExpectedSquaredJumpDistanceTuner ()=delete

Static Public Member Functions
static bool	tune (std::vector< std::shared_ptr< MarkovChain >> &, std::vector< RandomNumberGenerator > &, param_type &)
	tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate. More...
static bool	tune (double &, double &, std::vector< std::shared_ptr< MarkovChain >> &, std::vector< RandomNumberGenerator > &, param_type &)
	tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate. More...
static bool	tune (double &, double &, std::vector< std::shared_ptr< MarkovChain >> &, std::vector< RandomNumberGenerator > &, param_type &, Eigen::MatrixXd &data, Eigen::MatrixXd &posterior)
	tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate. More...

Constructor & Destructor Documentation

ExpectedSquaredJumpDistanceTuner()

hops::ExpectedSquaredJumpDistanceTuner::ExpectedSquaredJumpDistanceTuner ( )

delete

Member Function Documentation

tune() [1/3]

static bool hops::ExpectedSquaredJumpDistanceTuner::tune ( double &  , double &  , std::vector< std::shared_ptr< MarkovChain >> &  , std::vector< RandomNumberGenerator > &  , param_type &    )

static

tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate.

Clears Markov chain history.

Parameters

markovChain
parameters

Returns

true if markov chain is tuned

tune() [2/3]

static bool hops::ExpectedSquaredJumpDistanceTuner::tune ( double &  , double &  , std::vector< std::shared_ptr< MarkovChain >> &  , std::vector< RandomNumberGenerator > &  , param_type &  , Eigen::MatrixXd &  data, Eigen::MatrixXd &  posterior  )

static

tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate.

Clears Markov chain history.

Parameters

markovChain
parameters

Returns

true if markov chain is tuned

tune() [3/3]

static bool hops::ExpectedSquaredJumpDistanceTuner::tune ( std::vector< std::shared_ptr< MarkovChain >> &  , std::vector< RandomNumberGenerator > &  , param_type &    )

static

tunes markov chain acceptance rate by nested intervals. The chain is not guaranteed to have converged to the specified acceptance rate.

Clears Markov chain history.

Parameters

markovChain
parameters

Returns

true if markov chain is tuned

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

• ExpectedSquaredJumpDistanceTuner.hpp