Determines whether the specified object is equal to the current object.

Performs Kalman filtering and evaluates the likelihood function for the state-space model.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Returns the mean squared error matrix for b divided by sigma squared.

Returns the variance-covariance matrix of v dividied by sigma squared.

Serves as a hash function for a particular type.

Returns the one-step-ahead prediction error.

Returns the estimated state vector at time k + 1 given the observations through time k.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Removes the Q matrix.

Removes the transition matrix.

Do not perform computation of the update equations.

Sets the Q matrix.

Sets the transition matrix.

Returns a string that represents the current object.

Performs computation of the update equations.