Introduces decision-alignment to evaluate uncertainty metrics against downstream decision utilities and proposes prior-weighted proper scoring rules that align better in benchmarks and case studies.
Survival cluster analysis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A new functional clustering framework for survival data that smooths log-hazard trajectories with B-splines, applies FPCA, and clusters on the scores to group by temporal risk dynamics.
citing papers explorer
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Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
A new functional clustering framework for survival data that smooths log-hazard trajectories with B-splines, applies FPCA, and clusters on the scores to group by temporal risk dynamics.