in_paramspace_int
checks whether the parameter vector lies in the parameter
space or not.
in_paramspace_int(p, M, d, all_boldA, alphas, all_Omega)
a positive integer specifying the autoregressive order of the model.
a positive integer specifying the number of mixture components.
number of time series in the system.
3D array containing the \(((dp)x(dp))\) "bold A" matrices related to each mixture component VAR-process,
obtained from form_boldA
. Will be computed if not given.
(Mx1) vector containing all mixing weight parameters, obtained from pick_alphas
.
3D array containing all covariance matrices \(\Omega_{m}\), obtained from pick_Omegas
.
Returns TRUE
if the given parameter values are in the parameter space and FALSE
otherwise.
Does NOT consider the identifiability condition!
Kalliovirta L., Meitz M. and Saikkonen P. 2016. Gaussian mixture vector autoregression. Journal of Econometrics, 192, 485-498.