1 kalman_filter
filters.kalman_filter(
m_0,
P_0,
M,
PHI,
sigma2_eta,
sigma2_eps,
zs_tree,
sigma2_eta_dim,
sigma2_eps_dim,=0,
forecast='partial',
likelihood )
The standard Kalman Filter.
1.1 Parameters
Name | Type | Description | Default |
---|---|---|---|
m_0 | ArrayLike | Prior mean of the filter at the 0 time point. | required |
1.2 Returns
Name | Type | Description |
---|---|---|
A namedtuple containing the results of the filter. |