Description

This book presents some of Arnold Zellner's outstanding contributions to the philosophy, theory and application of Bayesian analysis, particularly as it relates to statistics, econometrics and economics.

The volume contains both previously published and new material which cite and discuss the work of Bayesians who have made a contribution by helping researchers and analysts in many professions to become more effective in learning from data and making decisions. Bayesian and non-Bayesian approaches are compared in several papers. Other articles include theoretical and applied results on estimation, model comparison, prediction, forecasting, prior densities, model formulation and hypothesis testing. In addition, a new information processing approach is presented that yields Bayes's Theorem as a perfectly efficient information processing rule.

This volume will be essential reading for academics and students interested in qualitative methods as well as industrial analysts and government officials.

Bayesian Analysis in Econometrics and Statistics: The Zellner View and Papers

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Hardback by Arnold Zellner

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This book presents some of Arnold Zellner's outstanding contributions to the philosophy, theory and application of Bayesian analysis, particularly as... Read more

    Publisher: Edward Elgar Publishing Ltd
    Publication Date: 12/06/1997
    ISBN13: 9781858982205, 978-1858982205
    ISBN10: 1858982200

    Number of Pages: 576

    Non Fiction , Business, Finance & Law

    Description

    This book presents some of Arnold Zellner's outstanding contributions to the philosophy, theory and application of Bayesian analysis, particularly as it relates to statistics, econometrics and economics.

    The volume contains both previously published and new material which cite and discuss the work of Bayesians who have made a contribution by helping researchers and analysts in many professions to become more effective in learning from data and making decisions. Bayesian and non-Bayesian approaches are compared in several papers. Other articles include theoretical and applied results on estimation, model comparison, prediction, forecasting, prior densities, model formulation and hypothesis testing. In addition, a new information processing approach is presented that yields Bayes's Theorem as a perfectly efficient information processing rule.

    This volume will be essential reading for academics and students interested in qualitative methods as well as industrial analysts and government officials.

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