| generatePath() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| umontreal::ssj::stochprocess::StochasticProcess.generatePath(RandomStream stream) | umontreal.ssj.stochprocess.StochasticProcess | |
| getAlpha() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getAnalyticAverage(double time) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getAnalyticVariance(double time) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getArrayMappingCounterToIndex() | umontreal.ssj.stochprocess.StochasticProcess | |
| getBeta() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getCurrentObservation() | umontreal.ssj.stochprocess.StochasticProcess | |
| getCurrentObservationIndex() | umontreal.ssj.stochprocess.StochasticProcess | |
| getDelta() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getGamma() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getMu() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getNumObservationTimes() | umontreal.ssj.stochprocess.StochasticProcess | |
| getObservation(int j) | umontreal.ssj.stochprocess.StochasticProcess | |
| getObservationTimes() | umontreal.ssj.stochprocess.StochasticProcess | |
| getPath() | umontreal.ssj.stochprocess.StochasticProcess | |
| getStream() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| getSubpath(double[] subpath, int[] pathIndices) | umontreal.ssj.stochprocess.StochasticProcess | |
| getX0() | umontreal.ssj.stochprocess.StochasticProcess | |
| hasNextObservation() | umontreal.ssj.stochprocess.StochasticProcess | |
| nextObservation() | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| NormalInverseGaussianProcess(double x0, double alpha, double beta, double mu, double delta, RandomStream streamBrownian, InverseGaussianProcess igP) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| NormalInverseGaussianProcess(double x0, double alpha, double beta, double mu, double delta, RandomStream streamBrownian, RandomStream streamIG1, RandomStream streamIG2, String igType) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| NormalInverseGaussianProcess(double x0, double alpha, double beta, double mu, double delta, RandomStream streamAll, String igType) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| resetStartProcess() | umontreal.ssj.stochprocess.StochasticProcess | |
| setObservationTimes(double t[], int d) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| umontreal::ssj::stochprocess::StochasticProcess.setObservationTimes(double delta, int d) | umontreal.ssj.stochprocess.StochasticProcess | |
| setParams(double x0, double alpha, double beta, double mu, double delta) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| setStream(RandomStream stream) | umontreal.ssj.stochprocess.NormalInverseGaussianProcess | |
| setX0(double s0) | umontreal.ssj.stochprocess.StochasticProcess | |