Interface  Description 

GaussianField.Covariance<K extends Comparable<? super K>>  
GaussianField.Mean<K extends Comparable<? super K>>  
RandomProcess<D extends Distribution> 
A random/stochastic process is a collection of random variables representing the evolution of some random
value over "time".

Class  Description 

GaussianField<K extends Comparable<? super K>> 
A Gaussian process is a stochastic process whose realizations consist of random values associated with
every point in a range of times (or of space) such that each such random variable has a normal
distribution.

GaussianProcess 
A Gaussian process is a stochastic process whose realizations consist of random values associated with
every point in a range of times (or of space) such that each such random variable has a normal
distribution.

GeometricBrownian1D  
GeometricBrownianMotion 
Diffusion process defined by a stochastic differential equation: dX = r X dt + s X dW A stochastic process
is said to follow a geometric Brownian motion if it satisfies this stochastic differential equation.

PoissonProcess 
A Poisson process is a stochastic process which counts the number of events in a given time interval.

RandomProcess.SimulationResults  
Wiener1D  
WienerProcess 
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