Nov 7, 2019 · We validate the accuracy of the resulting estimates and their confidence intervals in numerical experiments and show our methods compare favorably to existing ...

In this paper, we propose a method for constructing frequentist CIs based on approximate normality, even when challenges of adaptivity are severe.

Confidence Intervals for Policy Evaluation in Adaptive Experiments - gsbDBI/adaptive-confidence-intervals.

Apr 13, 2021 · Adaptive experimental designs can dramatically improve efficiency in randomized trials. But with adaptively collected data, ...

Request PDF | Confidence Intervals for Policy Evaluation in Adaptive Experiments | Adaptive experiments can result in considerable cost savings in ...

Abstract. Randomized controlled trials are central to the scientific process, but they can be costly. For example, a clinical trial may assign patients to ...

Feb 16, 2022 · Confidence intervals for policy evaluation in adaptive experiments. Proceedings of the National Academy of Sciences, 118(15). Harris, J. P. ...

Sep 22, 2023 · Athey, “Confidence intervals for policy evaluation in adaptive experiments,” Proceedings of the National Academy of Sciences, 2021, 118 (15) ...

Jun 3, 2021 · ... evaluate other treatment assignment policies to guide future innovation or experiments. ... confidence intervals and test hypotheses. Using ...

Nov 11, 2019 · Bibliographic details on Confidence Intervals for Policy Evaluation in Adaptive Experiments.