A propagation-separation approach to estimate the autocorrelation in a time-series
The paper presents an approach to estimate parameters of a local stationary AR(1) time series model by maximization of a local likelihood function.The method is based on a propagation-separation caruso rhodiola procedure that leads to data dependent weights defining the local model.Using free propagation of weights under homogeneity, the method is