Inferential models reasoning with uncertainty
A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior i...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Florida :
CRC Press
[2016]
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| Edición: | 1st edition |
| Colección: | Monographs on statistics and applied probability (Series) ;
147. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630061706719 |
Tabla de Contenidos:
- 1. Preliminaries
- 2. Prior-free probabilities inference
- 3. Two fundamental principles
- 4. Inferential models
- 5. Predictive random sets
- 6. Conditional inferential models
- 7. Marginal inferential models
- 8. Normal linear models
- 9. Prediction of future observations
- 10. Simultaneous inference on multiple assertions
- 11. Generalized inferential models
- 12. Future research topics.
