Sensitivity and out‐of‐sample error in continuous time data assimilation
Sensitivity and out‐of‐sample error in continuous time data assimilation
Data assimilation refers to the problem of finding trajectories of a prescribed dynamical model in such a way that the output of the model (usually some function of the model states) follows a given time series of observations. Typically though, these two requirements cannot both be met at the same …