Bayesian Analysis of the Independent Multi-Normal Process, Neither Mean Nor Precision Known (Classic Reprint) - Softcover
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Excerpt from Bayesian Analysis of the Independent Multi-Normal Process, Neither Mean Nor Precision Known
We also show in section 3 that Bayesian joint inference-finding joint posterior and preposterior densities of the mean vector and the variance covariance matrix-is possible even when classical joint inference is not, i.s. When the number of objective sample observations is less than the number of distinct elements of the mean vector and variance-covariance matrix of the process.
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Bayesian Analysis of the Independent Multi-Normal Process (Classic Reprint)
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Paperback. Zustand: New. Print on Demand. 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 9780365656715_0
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