Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling.
Venelin TodorovTzvetan OstromskyIvan DimovStefka FidanovaPublished in: FedCSIS (Communication Papers) (2020)
Keyphrases
- sensitivity analysis
- monte carlo method
- air pollution
- monte carlo methods
- low discrepancy sequences
- markov chain
- monte carlo
- air quality
- managerial insights
- genetic algorithm
- bayesian learning
- posterior distribution
- maximum likelihood estimation
- least squares
- generalized gaussian
- state space
- traffic flow
- computational complexity
- objective function
- parameter estimation
- bayesian networks
- simulated annealing
- neural network