27 virtual void proposeSamples(
const unsigned int seed_value)
override;
IndependentGaussianMH(const InputParameters ¶meters)
static InputParameters validParams()
virtual int decisionStep() const override
Return the step after which decision making can begin.
virtual void proposeSamples(const unsigned int seed_value) override
Fill in the _new_samples vector of vectors (happens within sampleSetUp)
const std::vector< Real > & _seed_inputs
Reporter value the seed input values for proposing the next set of samples.
const std::vector< Real > & _std_prop
Standard deviations for making the next proposal.
const InputParameters & parameters() const
A class for performing M-H MCMC sampling with independent Gaussian propoposals.
A base class used to perform Parallel Markov Chain Monte Carlo (MCMC) sampling.