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Exact(6)
By using the Bayesian Information Criterion (BIC), and by choosing the appropriate data length, the model order was determined in a stable fashion.
Thus, our 5-TR model order was relatively conservative in the context of the hemodynamic filter.
Through Akaike's criterion [McQuarrie and Tsai, 1998] the model order was selected as six.
The autoregressive model order was set at 20. Heart rate, relative low frequency, relative high frequency, and the low to high frequency ratio were obtained from the data.
According to the previous investigation with white Gaussian noise, a robust combination of number of samples per trial and model order was chosen, specifically 2,000 samples per trial and model order 5.
If the F-test comparing the residual variance from the full model to the residual variance from the reduced model (3) (where T is the total number of time points, p is the model order) was greater than tabular significance values, then the null hypothesis (y does not influence x) was rejected (Greene 2008).
Similar(54)
In order to improve the calculation efficiency, the modeling procedure that specifies the search path of the optimal model order is considered in this article.
The model order is chosen to be 30 by SVC.
where the model order is also estimated in the process.
Model order is a key factor in the ARMA model of ambient signal.
First, the optimal model order is selected using IC and the ARMA(2n,2n – 1) modeling procedure.
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