Documentation of 'umontreal.iro.lecuyer.stochprocess.InverseGaussianProcessPCA' Java class
InverseGaussianProcessPCA
umontreal.iro.lecuyer.stochprocess

Class InverseGaussianProcessPCA



  • public class InverseGaussianProcessPCA
    extends InverseGaussianProcess
    Approximates a principal component analysis (PCA) decomposition of the InverseGaussianProcess. The PCA decomposition of a BrownianMotionPCA with a covariance matrix identical to the one of our InverseGaussianProcess is used to generate the path of our InverseGaussianProcess. Such a path is a perfectly random path and it is hoped that it will provide reduction in the simulation variance when using quasi-Monte Carlo.

    The method nextObservation() cannot be used with PCA decompositions since the whole path must be generated at once.

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