Kernel-score-optimal linear pool weights are computed by solving a convex quadratic program, and weighting ensemble order statistics can re-calibrate and improve pooled forecasts.
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Efficient pooling of predictions via kernel embeddings
Kernel-score-optimal linear pool weights are computed by solving a convex quadratic program, and weighting ensemble order statistics can re-calibrate and improve pooled forecasts.