Skip to content

BNR

Seminar

Useful priors for covariance operators

Cox, D (Rice)
Tuesday 07 August 2007, 15:30-16:30

Seminar Room 1, Newton Institute

Abstract

Formulating useful priors for covariance operators is a challenging problem. This problem arises when one wishes to perform Bayesian inference with functional data. We discuss the issues and show that common priors for covariance matrices do not extend to operators on infinite dimensional function spaces. A method for constructing priors is described along with some of the mathematical properties of the priors. We show how to compute with these priors and give an application.

Presentation

[pdf ]

Audio

MP3MP3

Back to top ∧