A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
Successful implementation of major projects requires careful management of uncertainty and risk. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian Network (BN) modelling framework to calculate the costs, benefits, and retu...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2016
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/74285 |
Ejemplares similares: A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
- Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
- Secondary data analysis using evidence-based bayesian networks with an application to investigate the determinants of childhood stunting
- Bayesian survival analysis with BUGS
- 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