Advancements in predicting and modeling rare event outcomes for enhanced decision-making
Cindy Feng, Longhai Li, Chang Xu
Abstract
Predicting rare events is a challenging task due to limited data and imbalanced datasets. This special issue explores methodological advancements in prediction and modeling for rare events. The research showcased in this issue aims to provide valuable insights and strategies to enhance the accuracy of rare event prediction and modeling.
Topics & Concepts
Rare eventsComputer scienceTask (project management)Event (particle physics)Data scienceMachine learningArtificial intelligenceData miningMathematicsManagementStatisticsPhysicsQuantum mechanicsEconomicsStatistical Methods and InferenceProbability and Risk ModelsAdvanced Causal Inference Techniques