BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo (Lecture Notes in Economics and Mathematical Systems, 232)

Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo (Lecture Notes in Economics and Mathematical Systems, 232)

Bayesian Full Information Analysis of Simultaneous Equation Models Using
Stock photo: cover may vary

Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo (Lecture Notes in Economics and Mathematical Systems, 232) Paperback - 1984

by Bauwens, L

Add to wish list
  • New
  • Paperback
  • first
New

Description

Springer, 1984-09-01. Softcover reprint of the original 1st ed. 1984. paperback. New. 6.69x0.29x9.61. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$100.89
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo (Lecture Notes in Economics and Mathematical Systems, 232)

From the publisher

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.
tracking-