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Found 2 papers, 1 papers with code
Optimizing Heat Alert Issuance with Reinforcement Learning
First, we introduce a novel RL environment enabling the evaluation of the effectiveness of heat alert policies to reduce heat-related hospitalizations.
A causal inference framework for cancer cluster investigations using publicly available data
We overcome the second challenge by developing a Bayesian hierarchical model that borrows information from other sources to impute cancer incidence at the desired finer level of spatial aggregation.
Methodology Applications
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