Name: bayesian full information analysis of simultaneous equation models using integration by monte carlo
Price: 61.54 GBP
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Author: Bauwens, L.
ISBN: 9783540133841

portada bayesian full information analysis of simultaneous equation models using integration by monte carlo

Type

Physical Book

Author

L. Bauwens

Publisher

Springer

Year

1984

Language

English

Pages

114

Format

Paperback

Dimensions

24.4 x 17.0 x 0.7 cm

Weight

0.22 kg.

ISBN

3540133844

ISBN13

9783540133841

Synopsis "bayesian full information analysis of simultaneous equation models using integration by monte carlo"

In their review of the "Bayesian analysis of simultaneous equation systems", Dr ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys- tems i) the method allows "a flexible specification of the prior density, including well defined noninformative prior measures"; ii) it yields "exact finite sample posterior and predictive densities". However, they call for further developments so that these densities can be eval- uated through 'numerical methods, using an integrated software packa e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that "the integrations can be done and how they are done". In this monograph, we explain how we contribute to achieve the developments suggested by Dr ze and Richard. A basic idea is to use known properties of the porterior density of the param- eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.