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.