Doing Bayesian data analysis a tutorial with R and BUGS
"There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Burlington, MA :
Academic Press
[2011]
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628239706719 |
Tabla de Contenidos:
- This book's organization : read me first!
- Introduction : models we believe in
- What is this stuff called probability?
- Bayes' rule
- Inferring a binomial proportion via exact mathematical analysis
- Inferring a binomial proportion via grid approximation
- Inferring a binomial proportion via the Metropolis algorithm
- Inferring two binomial proportions via Gibbs sampling
- Bernoulli likelihood with hierarchical prior
- Hierarchical modeling and model comparison
- Null hypothesis significance testing
- Bayesian approaches to testing a point ("null") hypothesis
- Goals, power, and sample size
- Overview of the generalized linear model
- Metric predicted variable on a single group
- Metric predicted variable with one metric predictor
- Metric predicted variable with multiple metric predictors
- Metric predicted variable with one nominal predictor
- Metric predicted variable with multiple nominal predictors
- Dichotomous predicted variable
- Ordinal predicted variable
- Contingency table analysis
- Tools in the trunk.
