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pro vyhledávání: '"Li, Harrison H."'
Autor:
Li, Harrison H., Yu, Chaoyu
In designing an online A/B experiment, it is crucial to select a sample size and duration that ensure the resulting confidence interval (CI) for the treatment effect is the right width to detect an effect of meaningful magnitude with sufficient stati
Externí odkaz:
http://arxiv.org/abs/2408.02830
Autor:
Li, Harrison H.
A researcher collecting data from a randomized controlled trial (RCT) often has access to an auxiliary observational dataset that may be confounded or otherwise biased for estimating causal effects. Common modeling assumptions impose restrictions on
Externí odkaz:
http://arxiv.org/abs/2406.06941
Autor:
Li, Harrison H., Owen, Art B.
We consider an experiment with at least two stages or batches and $O(N)$ subjects per batch. First, we propose a semiparametric treatment effect estimator that efficiently pools information across the batches, and show it asymptotically dominates alt
Externí odkaz:
http://arxiv.org/abs/2309.15297
We introduce region-based explanations (RbX), a novel, model-agnostic method to generate local explanations of scalar outputs from a black-box prediction model using only query access. RbX is based on a greedy algorithm for building a convex polytope
Externí odkaz:
http://arxiv.org/abs/2210.08721
Autor:
Li, Harrison H., Owen, Art B.
Tie-breaker designs trade off a statistical design objective with short-term gain from preferentially assigning a binary treatment to those with high values of a running variable $x$. The design objective is any continuous function of the expected in
Externí odkaz:
http://arxiv.org/abs/2202.12511
Autor:
Li Harrison H., Owen Art B.
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 558-108 (2024)
We consider an experiment with at least two stages or batches and O(N)O\left(N) subjects per batch. First, we propose a semiparametric treatment effect estimator that efficiently pools information across the batches, and we show that it asymptoticall
Externí odkaz:
https://doaj.org/article/b84429a08c2b45e781021313f8f90fa5
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