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stat.ML2024
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning
Paul N. Patrone, Raquel A. Binder, Catherine S. Forconi +2
This is the second manuscript in a two-part series that uses diagnostic testing to understand the connection between prevalence (i.e. number of elements in a class), uncertainty qu…
stat.ML2024
Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning
Paul N. Patrone, Raquel A. Binder, Catherine S. Forconi +2
Diagnostic testing provides a unique setting for studying and developing tools in classification theory. In such contexts, the concept of prevalence, i.e. the number of individuals…