Speaker: Professor Peter Hall (Australian National University)
Title: Nonparametric methods for deconvolving multiperiodic functions
Date: Friday, 8 October, 2004
Time: 2:00 pm
Venue: Carslaw 373, University of Sydney
Time series describing the intensity of radiation from stars can be used to classify the stars into types, particularly if the radiation is periodic or can be expressed as the convolution of a small number of periodic functions. Signals of the latter type are conveniently referred to as ''multiperiodic functions.''
Classification can involve accessing the individual periodic components, which generally
correspond to different sources of radiation and have intrinsic physical meaning. Therefore they need to be ''deconvolved'' from the mixture.
We shall discuss a combination of kernel and orthogonal series methods for performing the deconvolution, and show how to estimate both the sequence of periods and the periodic functions
themselves. Particular attention will be paid to the issue of identifiability, in a nonparametric sense, of the components. This aspect of the problem exhibits unusual features, and has connections to number theory, as too do convergence rates of estimators.