Confidence intervals for policy evaluation in adaptive experiments
Confidence intervals for policy evaluation in adaptive experiments
About this item
Full title
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Publisher
United States: National Academy of Sciences
Journal title
Language
English
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Publisher
United States: National Academy of Sciences
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Scope and Contents
Contents
Adaptive experimental designs can dramatically improve efficiency in randomized trials. But with adaptively collected data, common estimators based on sample means and inverse propensity-weighted means can be biased or heavy-tailed. This poses statistical challenges, in particular when the experimenter would like to test hypotheses about parameters...
Alternative Titles
Full title
Confidence intervals for policy evaluation in adaptive experiments
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8054003
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8054003
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2014602118
