[R] KalmanForecast (stats)

Hasan Diwan hasan.diwan at gmail.com
Tue Jul 2 05:22:05 CEST 2013

On 1 July 2013 19:24, Giovanni Petris <gpetris at uark.edu> wrote:
> Could you send me a simple example of KalmanForecast (with input data) that I can run and can see how it works exactly?

There's an explanation of the Kalman Filter available at
-- I've summarised it below:
The kalman filter is used to reduce the noise in an indirectly
measured signal, s, approximated by the formula -- x[t] = a*x[t-1] +
b*u[t], to which a random amount of white noise is added, making the
equation x[t] = a*x[t-1]+b*u[t] + w[t]. The white noise varies with
time, hence it's a series. Each measure of x[t] brings you closer to
the actual signal. I hope this helps... -- H
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