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Filter disturbances through conditional variance model

`filter`

generalizes `simulate`

. Both function filter a series of disturbances to produce output responses and conditional variances. However, `simulate`

autogenerates a series of mean-zero, unit-variance, independent and identically distributed (iid) disturbances according to the distribution in the conditional variance model object, `Mdl`

. In contrast, `filter`

lets you directly specify your own disturbances.

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