A Bayesian calibration framework that combines empirical data with expert, theoretical, and qualitative constraints, demonstrated on coral, ecosystem, and biochemical models.
Previous literature indicates that for this biochemical network to be capable of adaptation, bothK 3 <1 andK 4 <1 (Ma et al., 2009; Jeynes-Smith and Araujo, 2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
A Bayesian calibration framework that combines empirical data with expert, theoretical, and qualitative constraints, demonstrated on coral, ecosystem, and biochemical models.