Abstract
The goal of this book is to provide a unified introduction to a variety of computational algorithms that can be used as part of a Bayesian (posterior) analysis or as part of a likelihood analysis. These algorithms are tools and may be categorized using several taxonomies. The reader may find it useful to review these taxonomies as an aid to understanding how these tools complement, contrast and extend each other.
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© 1993 Springer-Verlag New York, Inc.
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Tanner, M.A. (1993). Introduction. In: Tools for Statistical Inference. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-0192-9_1
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DOI: https://doi.org/10.1007/978-1-4684-0192-9_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4684-0194-3
Online ISBN: 978-1-4684-0192-9
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