Abstract
This introductory section will provide some key elements in the Bayesian paradigm and a quick review of basic Bayesian methods. It is intended mainly for those who are new to Bayesianism or Bayesian applications in biostatistics.
Keywords
- Posterior Distribution
- Markov Chain Monte Carlo
- Inclusion Probability
- Bayesian Credible Interval
- Bayesian Paradigm
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Chang, M. (2011). Bayesian Methods and Applications. In: Modern Issues and Methods in Biostatistics. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9842-2_10
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DOI: https://doi.org/10.1007/978-1-4419-9842-2_10
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