Markov chain monte carlo sampler.
This sampler implements the metropolis algorithm and changes the current value using gaussian noise with given sigma.
input slots | |
output slots | |
parameters | |
| ParameterList< double > | seed |
| seed, current value | |
| Parameter< double > | sigma |
| mcmc noise sigma | |
| Parameter< unsigned int > | skip |
| skip first n steps | |
| Parameter< unsigned int > | steps |
| step size between two samples | |
This Module subclasses Sampler.
For documentation of parameters and slots inherited by this base class,
please have a look at the corresponding Module reference.
The detailed doxygen documentation beyond the parameters/slots may be found here.