A functional-maximin DRPP framework is introduced that converts optimization over probability measures to Euclidean spaces, producing Noise-DRPP and Eig-DRPP suboptimal predictors along with optimality gap bounds.
Evaluation of individual and ensemble probabilistic forecasts of covid-19 mortality in the united states
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Distributionally Robust Probabilistic Prediction for Stochastic Dynamical Systems
A functional-maximin DRPP framework is introduced that converts optimization over probability measures to Euclidean spaces, producing Noise-DRPP and Eig-DRPP suboptimal predictors along with optimality gap bounds.