Abstract
Historically, an important roadblock to using Bayesian inference has been the difficulty of computing posterior distributions of parameters. Thus, a major focus of this book is to show how such computations can be done using modern hardware and software.
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© 2010 Springer Science+Business Media, LLC
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Suess, E.A., Trumbo, B.E. (2010). Using WinBUGS for Bayesian Estimation. In: Introduction to Probability Simulation and Gibbs Sampling with R. Use R, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68765-0_10
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DOI: https://doi.org/10.1007/978-0-387-68765-0_10
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-40273-4
Online ISBN: 978-0-387-68765-0
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