I have a time signal with a known noise distribution parameters (gaussian, sd is known). I would like to estimate the true value statistically and in the best case obtain a confidence interval.
As I understood Kalman filter requires a model of the signal itself, I wouldn't know how I get that. Could I still use a Kalman filter? What are approaches to estimate the signal statistically?