State-space digital filters constitute a versatile class of algorithms used to process signals by modelling dynamic systems through state variables. Their representation encompasses both the system’s ...
A non-Gaussian time series model useful for describing the dynamics of endocrinological data is introduced by using a state-space representation. This model is applicable even when the data are ...