Approximate Bayesian Computation for Estimating Parameters of Data-Consistent Forbush Decrease Model.
Anna WawrzynczakPiotr KopkaPublished in: Entropy (2018)
Keyphrases
- input data
- measured data
- experimental data
- probability distribution
- test data
- prior distribution
- probabilistic model
- data sets
- data sources
- data analysis
- prior knowledge
- simulation data
- training data
- empirical data
- computational model
- bayesian methods
- estimation process
- data quality
- database
- bayesian inference
- sensitivity analysis
- bayesian framework
- prior information
- expectation maximization
- network structure
- mathematical model
- data collection
- data processing
- neural network
- measurement data
- parameter estimates
- gaussian processes
- posterior distribution
- probability density function
- raw data
- spatial data
- parameter estimation
- maximum likelihood
- knowledge discovery
- similarity measure
- feature selection