NormalInverseWishartPrior.persistence#
- NormalInverseWishartPrior.persistence: float | Sequence[float]#
a scalar, or one value per variable.
One is the random-walk prior for series in levels; zero suits differenced or otherwise stationary data. A sequence gives each variable its own centre and must have one entry per variable.
- Type:
Prior mean of each variable’s own first lag