A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements.
Anu KauppiAntti KukkurainenAntti LipponenMarko LaineAntti ArolaHannakaisa LindqvistJohanna TamminenPublished in: Remote. Sens. (2024)
Keyphrases
- model selection
- bayesian framework
- hyperparameters
- gaussian process
- bayesian methods
- cross validation
- prior knowledge
- posterior distribution
- gaussian processes
- sample size
- machine learning
- statistical inference
- parameter estimation
- maximum a posteriori
- regression model
- posterior probability
- generative model
- variable selection
- selection criterion
- probability density function
- error estimation
- prior distribution
- bayesian information criterion
- model selection criteria
- automatic model selection
- mixture model
- random sampling
- motion segmentation
- prior information
- graphical models
- information criterion
- feature space
- feature selection