HQ.varlse {bvhar} | R Documentation |
Hannan-Quinn Criterion of Multivariate Time Series Model
Description
Compute HQ of VAR(p), VHAR, BVAR(p), and BVHAR
Usage
## S3 method for class 'varlse'
HQ(object, ...)
## S3 method for class 'vharlse'
HQ(object, ...)
## S3 method for class 'bvarmn'
HQ(object, ...)
## S3 method for class 'bvarflat'
HQ(object, ...)
## S3 method for class 'bvharmn'
HQ(object, ...)
Arguments
object |
Model fit |
... |
not used |
Details
Let \tilde{\Sigma}_e
be the MLE
and let \hat{\Sigma}_e
be the unbiased estimator (covmat
) for \Sigma_e
.
Note that
\tilde{\Sigma}_e = \frac{s - k}{n} \hat{\Sigma}_e
Then
HQ(p) = \log \det \Sigma_e + \frac{2 \log \log s}{s}(\text{number of freely estimated parameters})
where the number of freely estimated parameters is pm^2
.
Value
HQ value.
References
Hannan, E.J. and Quinn, B.G. (1979). The Determination of the Order of an Autoregression. Journal of the Royal Statistical Society: Series B (Methodological), 41: 190-195.
Lütkepohl, H. (2007). New Introduction to Multiple Time Series Analysis. Springer Publishing.
Quinn, B.G. (1980). Order Determination for a Multivariate Autoregression. Journal of the Royal Statistical Society: Series B (Methodological), 42: 182-185.