This essential text explores the Bayesian analysis of independent multi-normal processes when neither the mean nor the precision is known. Written by two of the most renowned mathematicians in the field, this book offers readers a comprehensive and accessible introduction to the challenges and opportunities of this exciting area of research. Featuring numerous exercises, examples, and real-world case studies, this book is an essential resource for anyone interested in the study of multi-normal processes and Bayesian inference.

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