Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

Empirical Bayesian inference in a nonparametric regression model

Koop, G.M. and Poirier, D. (2005) Empirical Bayesian inference in a nonparametric regression model. In: State Space Models and Unobserved Components. Cambridge University Press, pp. 152-171. ISBN 052183595X

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Describes procedures for Bayesian estimation and testing in cross-sectional, panel data and nonparametric regression models. Non-parametric regression is a type of regression analysis in which the functional form of the relationship between the response variable and the associated predictor variables does not to be specified in order to fit a model to a set of data.