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stat.ML2026
On some practical challenges of conformal prediction
Liang Hong, Noura Raydan Nasreddine
Conformal prediction is a model-free machine learning method for constructing prediction regions at a guaranteed coverage probability level. However, a data scientist often faces t…
stat.ML2025
Conformal prediction of future insurance claims in the regression problem
Liang Hong
In the current insurance literature, prediction of insurance claims in the regression problem is often performed with a statistical model. This model-based approach may potentially…
stat.ML2025
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
Yina Hou, Shourav B. Rabbani, Liang Hong +2
The importance of clinical variables in the prognosis of the disease is explained using statistical correlation or machine learning (ML). However, the predictive importance of thes…