A new framework for calibrating COVID-19 SEIR models with spatial-/time-varying coefficients using genetic and sliding window algorithms.
Huan ZhouRalf SchneiderSebastian KlüsenerAndreas BackhausPublished in: CoRR (2024)
Keyphrases
- sliding window
- data streams
- walsh hadamard transform
- probabilistic model
- computational complexity
- stream data
- spatial constraints
- limited memory
- bayesian framework
- learning algorithm
- fixed size
- space efficient
- data sets
- mining algorithm
- historical data
- skyline queries
- window size
- spatial data
- anomaly detection
- linear combination
- variable size