Multifidelity Bayesian Experimental Design to Quantify Rare-Event Statistics.
Xianliang GongYulin PanPublished in: SIAM/ASA J. Uncertain. Quantification (2024)
Keyphrases
- experimental design
- rare events
- class imbalance
- importance sampling
- active learning
- empirical studies
- fraud detection
- bayesian networks
- distributed data
- sample size
- class distribution
- cost sensitive
- feature selection
- monte carlo
- markov chain monte carlo
- concept drift
- machine learning
- posterior distribution
- posterior probability
- markov chain
- feature space
- support vector