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This book provides statisticians, researchers, and economists with a comprehensive guide to Bayesian probability, an analytic approach used to understand natural and social phenomena. Emerging from the author's seminal studies in the field, the book presents the ideas and principles underlying Bayesian theories, with a focus on their applications in multivariate problems where neither means nor uncertainties are known with certainty. The author highlights the advantages of Bayesian analysis over conventional frequency theory and explores the field's historical evolution, current development, and future prospects. This book is a valuable resource for practitioners seeking advanced statistical techniques to address complex problems in diverse fields, from econometrics to operations research and social science.
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Excerpt from Extended Natural Conjugate Distributions for the Multinormal Process
Furthermore, Rothenburg [4 points out an additional difficulty associated with natural conjugate analysis of the Multinormal process when this analysis is applied to reduced form systems; namely, if the joint prior of (i, E), the matrix of coefficients of the system and the inverse of the variance-covariance matrix of the residual error vector respectively, is in the natural conjugate family, then the marginal variances of all coefficients in the ith row of fl are proportional to the marginal variances of coefficients in the jth row of g. In practical problems, such a restriction is often undesirable. Zellner [5 attempts to deal with this problem.
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Excerpt from Extended Natural Conjugate Distributions for the Multinormal Process
Normal-wishart priors to carry out prior to posterior and pre-posterior analysis.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Paperback. Zustand: New. Print on Demand. This book provides statisticians, researchers, and economists with a comprehensive guide to Bayesian probability, an analytic approach used to understand natural and social phenomena. Emerging from the author's seminal studies in the field, the book presents the ideas and principles underlying Bayesian theories, with a focus on their applications in multivariate problems where neither means nor uncertainties are known with certainty. The author highlights the advantages of Bayesian analysis over conventional frequency theory and explores the field's historical evolution, current development, and future prospects. This book is a valuable resource for practitioners seeking advanced statistical techniques to address complex problems in diverse fields, from econometrics to operations research and social science. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781332975327_0
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