TY  - BOOK
AU  - Thompson,John
TI  - Bayesian analysis with Stata
SN  - 9781597181419
U1  - 519.542 21
PY  - 2014///
CY  - College Station, Texas
PB  - Stata Press
KW  - ANALISIS BAYESIANO
KW  - STATA
KW  - ANALISIS ESTADISTICO
KW  - ESTUDIOS DE CASOS
KW  - PROGRAMAS DE COMPUTADORA
N1  - Bibliografía: p. 265-272; Preface -- 1. The problem of priors -- 2. Evaluating the posterior -- 3. Metropolis-Hastings -- 4. Gibbs sampling -- 5. Assessing convergence -- 6. Validating the Stata code and summarizing the results -- 7. Bayesian analysis with Mata -- 8. Using WinBUGS for model fitting -- 9. Model checking -- 10. Model selection -- 11. Further case studies -- 12. Writing Stata programs for specific Bayesian analysis -- A. Standard distributions
N2  - Bayesian analysis with Stata is written for anyone interested in applying Bayesian methods to real data easly. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability. The book emphasizes practical data analysis from the Bayesian persepctive, 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
ER  -