Title: Nonparametric methods for circular data with errors in variables
Authors: Marco Di Marzio - University of Chieti-Pescara (Italy)
Stefania Fensore - University of Chieti-Pescara (Italy)
Agnese Panzera - University of Florence (Italy) [presenting]
Charles C Taylor - University of Leeds (United Kingdom)
Abstract: Nonparametric approaches are considered to estimate circular densities and regression curves involving circular variables when data are affected by measurement errors. Generalizations to the case when the density of the error is unknown are performed via a double smoothing version of the previous methods. Asymptotic properties along with some simulation results are provided.