Description Objects from the Class Slots Extends Methods Author(s) See Also Examples
The class OUModel represents multivariate
Ornstein-Uhlenbeck diffusion models.
Objects can be created by calls of the form new("OUModel",
...).
A p-dimensional Ornstein-Uhlenbeck diffusion model is determined by three parameters,
A p-vector (the constant drift coefficient).
A p x p matrix (the linear drift coefficient).
A symmetric, positive semidefinite p x p matrix (the infinitesimal covariance matrix).
The diffusion is a solution to a SDE of the form dX_t = B(X_t-A) dt + D dW_t where W is a p-dimensional Brownian Motion and D satisfies D*t(D) = C.
The class extends MultDiffModel, a virtual class which
represents multivariate diffusion models.
parameters: A list which contains
components A, B and C corresponding to the
parameters of the model. A must be a numeric vector,
B and C must be of class matrix.
Class MultDiffModel (directly).
signature(object = "OUModel", parameters = NULL, lossType =
1, useSufficientStat = TRUE, ...):
Returns the gradient \nabla l(B,A) of the
type 1 or 2 loss function l as a list with two elements
A and B (the derivatives with respect to the
parameters A and B, respectively). Uses data from object. If
parameters are missing, the parameters of
object are used. If parameters are not
missing, they must be specified as a list of parameters which
are compatible with object. lossType must be either
1 or 2.
signature(object = "OUModel", parameters):
May be used to check that parameters, a set of parameters corresponding to an
object of class OUModel, has the correct form.
signature(object = "OUModel", x): Converts the
numeric vector x into a list of parameters
A, B and C which are compatible with an
object of class OUModel (by column).
signature(object = "OUModel",
parameters): Converts parameters, a list of parameters
corresponding to an object of class OUModel, into a
numeric vector. If parameters are not specified,
the parameters of object are converted.
Nina Munkholt, nina.m@math.ku.dk
1 | showClass("OUModel")
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