public class MCMC_GaussianMinimizer extends MCMC_Minimizer
Constructor and Description |
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MCMC_GaussianMinimizer()
Default constructor.
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MCMC_GaussianMinimizer(DW_Scheme scheme,
ParametricModel pm,
Codec cod,
Prior p,
Perturbation pb,
double sigma)
Constructor needs all the following:
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getNumSolutions, getSolutions, setMeasurements
getAcceptanceRate, getParameters, minimise, setInitParams
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
minimise, setInitParams
public MCMC_GaussianMinimizer()
public MCMC_GaussianMinimizer(DW_Scheme scheme, ParametricModel pm, Codec cod, Prior p, Perturbation pb, double sigma) throws MarkovChainMonteCarloException
scheme
- The acquisition protocolpm
- The diffusion model to fitcod
- The Codec specifying the transformation from modelp
- Prior object specifying the prior distribution on the parameters.pb
- Perturbation object specifying the proposal distributions.sigma
- The expected standard deviation of the noise in the data
to optimized parameters.MarkovChainMonteCarloException