Buch, Englisch, 302 Seiten, Format (B × H): 182 mm x 238 mm, Gewicht: 612 g
Buch, Englisch, 302 Seiten, Format (B × H): 182 mm x 238 mm, Gewicht: 612 g
ISBN: 978-1-59718-141-9
Verlag: CRC Press
The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.
The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.
Autoren/Hrsg.
Weitere Infos & Material
List of figures. List of tables. Preface. Acknowledgments. The problem of priors. Evaluating the posterior. Metropolis–Hastings. Gibbs sampling. Assessing convergence. Validating the Stata code and summarizing the results. Using WinBUGS for model fitting. Model checking. Model selection. Further case studies. Writing Stata programs for specific Bayesian analysis. A Standard distributions. References. Author index. Subject index.