105 citations · 127 across the 14 of their papers we have counts for
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stat.ME2019
A race-DC in Big Data
Lu Lin, Jun Lu
The strategy of divide-and-combine (DC) has been widely used in the area of big data. Bias-correction is crucial in the DC procedure for validly aggregating the locally biased esti…
stat.ME2019
A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint
Lu Lin, Feng Li
This paper establishes a global bias-correction divide-and-conquer (GBC-DC) rule for biased estimation under the case of memory constraint. In order to introduce the new estimation…