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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

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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.

Item type: Book Section
ID code: 7917
Keywords: bayesian econometrics, semiparametric regression, non-parametric regression models, Commerce, Economic Theory
Subjects: Social Sciences > Commerce
Social Sciences > Economic Theory
Department: Strathclyde Business School > Economics
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 29 Apr 2009 16:37
Last modified: 12 Mar 2012 10:48
URI: http://strathprints.strath.ac.uk/id/eprint/7917

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