Uses of Package
dev.nm.stat.stochasticprocess.multivariate.sde
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Classes in dev.nm.stat.stochasticprocess.multivariate.sde used by dev.nm.stat.stochasticprocess.multivariate.random Class Description MultivariateSDE This class represents a multi-dimensional, continuous-time Stochastic Differential Equation (SDE) of this form: \[ dX_t = \mu(t,X_t,Z_t,...)*dt + \sigma(t, X_t, Z_t, ...)*dB_t \] -
Classes in dev.nm.stat.stochasticprocess.multivariate.sde used by dev.nm.stat.stochasticprocess.multivariate.sde Class Description MultivariateFt This represents the concept 'Filtration', the information available at time t.MultivariateFtWt This is a filtration implementation that includes the path-dependent information, Wt. -
Classes in dev.nm.stat.stochasticprocess.multivariate.sde used by dev.nm.stat.stochasticprocess.multivariate.sde.coefficients Class Description FtAdaptedRealFunction This represents an Ft-adapted function that depends on X(t), B(t), or even on the whole past path of B(s), s ≤ t.FtAdaptedVectorFunction This represents a vector-valued Ft-adapted function that depends on X(t), B(t), or even on the whole past path of B(s), s ≤ t.MultivariateFt This represents the concept 'Filtration', the information available at time t. -
Classes in dev.nm.stat.stochasticprocess.multivariate.sde used by dev.nm.stat.stochasticprocess.multivariate.sde.discrete Class Description MultivariateFt This represents the concept 'Filtration', the information available at time t.MultivariateSDE This class represents a multi-dimensional, continuous-time Stochastic Differential Equation (SDE) of this form: \[ dX_t = \mu(t,X_t,Z_t,...)*dt + \sigma(t, X_t, Z_t, ...)*dB_t \]