Description Usage Arguments Details See Also
The mean of the filtering distribution
1 2 3 4 5 | ## S4 method for signature 'kalmand_pomp'
filter.mean(object, vars, ...)
## S4 method for signature 'pfilterd_pomp'
filter.mean(object, vars, ...)
|
object |
result of a filtering computation |
vars |
optional character; names of variables |
... |
ignored |
The filtering distribution is that of
Xt | Y1=y1*,…,Yt=yt*,
where Xt, Yt are the latent state and observable processes, respectively, and yt* is the data, at time t.
The filtering mean is therefore the expectation of this distribution
E[Xt | Y1=y1*,…,Yt=yt*].
Other particle filter methods: bsmc2
,
cond.logLik
, eff.sample.size
,
filter.traj
, mif2
,
pfilter
, pmcmc
,
pred.mean
, pred.var
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