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math.ST2026
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
Ansgar Steland
Training deep learning neural networks often requires massive amounts of computational ressources. We propose to sequentially monitor network predictions to trigger retraining only…
math.ST2025
Adaptive Thresholds for Monitoring and Screening in Imbalanced Samples: Optimality and Boosting Sensitivity
Ansgar Steland
Suppose (standardized) measurements or statistics are monitored to raise an alarm when a threshold is exceeded. Often, the underlying population is heterogenous with respect to imp…