myProcess=class=AggregatedProcess process collection=[class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]]
myProcess=AggregatedProcess([WhiteNoise(Normal(mu = 0, sigma = 1))])
a realization=class=Field name=Unnamed description=[t,X0] implementation=class=FieldImplementation name=Unnamed mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=11 dimension=1 description=[t] data=[[0],[0.1],[0.2],[0.3],[0.4],[0.5],[0.6],[0.7],[0.8],[0.9],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[7,8],[8,9],[9,10]] values=class=Sample name=Normal implementation=class=SampleImplementation name=Normal size=11 dimension=1 description=[X0] data=[[0.608202],[-1.26617],[-0.438266],[1.20548],[-2.18139],[0.350042],[-0.355007],[1.43725],[0.810668],[0.793156],[-0.470526]]
a marginal process=class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
myProcess=class=AggregatedProcess process collection=[class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Process implementation=class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.1 n=11 coefficients AR=class=ARMACoefficients coefficients MA=class=ARMACoefficients noiseDistribution= class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[],class=Process implementation=class=GaussianProcess mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=11 dimension=1 description=[t] data=[[0],[0.1],[0.2],[0.3],[0.4],[0.5],[0.6],[0.7],[0.8],[0.9],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[7,8],[8,9],[9,10]] trend=class=TrendTransform inherited from class=VertexValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x0,y0] evaluationImplementation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] covarianceModel=class=ExponentialModel scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] isDiagonal=true covarianceCholeskyFactor=class=TriangularMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isInitialized=false hasStationaryTrend=true checkedStationaryTrend=false]
myProcess=AggregatedProcess([WhiteNoise(Normal(mu = 0, sigma = 1)),ARMA(X_{0,t} = E_{0,t}, E_t ~ Normal(mu = 0, sigma = 1)),GaussianProcess(trend=[x0]->[0.0], covariance=ExponentialModel(scale=[1], amplitude=[1], no spatial correlation))])
a realization=class=Field name=Unnamed description=[t,X0,X0,y0] implementation=class=FieldImplementation name=Unnamed mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=11 dimension=1 description=[t] data=[[0],[0.1],[0.2],[0.3],[0.4],[0.5],[0.6],[0.7],[0.8],[0.9],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[7,8],[8,9],[9,10]] values=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=11 dimension=3 description=[X0,X0,y0] data=[[-1.28289,0.351418,-0.0436123],[-1.31178,1.78236,0.190168],[-0.0907838,0.0702074,0.299777],[0.995793,-0.781366,0.444838],[-0.139453,-0.721533,0.195966],[-0.560206,-0.241223,0.0142559],[0.44549,-1.78796,-0.307618],[0.322925,0.40136,-0.16853],[0.445785,1.36783,0.685721],[-1.03808,1.00434,0.33466],[-0.856712,0.741548,1.09293]]
a marginal process=class=Process implementation=class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.1 n=11 coefficients AR=class=ARMACoefficients coefficients MA=class=ARMACoefficients noiseDistribution= class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
another marginal process=class=Process implementation=class=AggregatedProcess process collection=[class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Process implementation=class=GaussianProcess mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=11 dimension=1 description=[t] data=[[0],[0.1],[0.2],[0.3],[0.4],[0.5],[0.6],[0.7],[0.8],[0.9],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[7,8],[8,9],[9,10]] trend=class=TrendTransform inherited from class=VertexValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x0,y0] evaluationImplementation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] covarianceModel=class=ExponentialModel scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] isDiagonal=true covarianceCholeskyFactor=class=TriangularMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isInitialized=false hasStationaryTrend=true checkedStationaryTrend=false]
