/**
* Construct a Particle Filtering instance.
*
* @param N
* the number of samples to be maintained
* @param dbn
* a DBN with prior <b>P</b>(<b>X</b><sub>0</sub>), transition
* model <b>P</b>(<b>X</b><sub>1</sub> | <b>X</b><sub>0</sub>),
* sensor model <b>P</b>(<b>E</b><sub>1</sub> |
* <b>X</b><sub>1</sub>)
* @param randomizer
* a IRandom to be used for sampling purposes.
*/
public ParticleFiltering(int N, IDynamicBayesianNetwork dbn, IRandom randomizer)
{
this.randomizer = randomizer;
this.priorSampler = new PriorSample(this.randomizer);
initPersistent(N, dbn);
}
public RejectionSampling(PriorSample ps)
{
this.ps = ps;
}