Excerpt from Multinormal Bayesian Analysis: Two Examples
The moments of certain distributions will be required in order to fit prior distributions. These moments are derived in this section.
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Paperback. Condition: New. Print on Demand. This book provides rigorous yet comprehensible theory, examples, and applications of Bayesian analysis to multivariate normal processes, a fundamental theory in economics and operational research. The author extends Ando and Kaufmanâs models to include generalized regression models and derives theorems for use in multivariate Bayesian analysis. Central to this work is a section on distribution theory, providing context to the later applications of these theories. The applications section features worked examples from radar-tracking models and Leontiefâs static inter-industry model to illustrate the practical use of Bayesian analysis in modeling and forecasting. This text is an excellent primer for economists, business analysts, engineers, and other practitioners seeking to apply Bayesian analysis to multivariate normal processes. 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. Seller Inventory # 9781334538162_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9781334538162
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LX-9781334538162
Quantity: 15 available