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Comparing Sequential Forecasters
We develop anytime-valid inference methods for estimating & testing the time-varying mean score difference between two sequential forecasters. Published in Operations Research.
We develop anytime-valid inference methods for estimating & testing the time-varying mean score difference between two sequential forecasters. Published in Operations Research.
We develop a statistical inference approach for counterfactually evaluating and comparing abstaining classifiers using nonparametric causal inference. Published in NeurIPS.