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Difference-based variance estimators with repeated measurements

Lee, Chak Ming et al.
arXiv (All) · Papers
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62g10methodology
In this paper, we formulate a general differencing framework for variance estimation across a range of settings. We demonstrate that conventional difference-based noise variance estimators cannot achieve the desired bias-correcting power in nonparametric regression with repeated measurements. A new
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