A Bayesian technique for refining the uncertainty in global energy model forecasts
Global energy models have a large degree of uncertainty associated with them. This consists of uncertainty in the model structure as well as uncertainty in the exogenous input parameters. This paper combines Monte Carlo methods with Bayesian updating techniques to provide a method for refining the u...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
1995
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/2283 https://ink.library.smu.edu.sg/context/lkcsb_research/article/3282/viewcontent/1_s2.0_016920709402010M_main.pdf |
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| Institution: | Singapore Management University |
| Language: | English |