Using a Bayesian framework and global sensitivity analysis to identify strengths and weaknesses of two process-based models differing in representation of autotrophic respiration.
F. MinunnoMarcel van OijenD. R. CameronSofia CerasoliJ. S. PereiraMargarida ToméPublished in: Environ. Model. Softw. (2013)
Keyphrases
- bayesian framework
- sensitivity analysis
- strengths and weaknesses
- prior knowledge
- generative model
- influence diagrams
- hyperparameters
- advantages and disadvantages
- posterior probability
- bayesian methods
- bayesian formulation
- maximum a posteriori
- expectation maximization
- probabilistic model
- managerial insights
- gaussian process
- usability testing
- prior distribution
- variational inequalities
- machine learning
- posterior distribution
- parameter estimation
- gaussian processes
- bayesian model
- special case
- data sets
- relative strengths and weaknesses