An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models
In recent years, interest in the Bayesian approach for the calibration of hydrological and environmental simulation (HES) models has been growing. To extract useful information on unknown parameters produced in a Bayesian calibration, it is often necessary to rely on samples drawn from the posterior...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Geophysical Union
2009
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/162205 |
Ejemplares similares: An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models
- Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach:
- Closing the gaps in experimental and observational crop response estimates: a Bayesian approach
- Spatial dependency and technical efficiency: An application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction
- Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
- A Bayesian optimization R package for multitrait parental selection