A Note on Monte-Carlo Jackknife: McJack and Big Data
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This short note explains how Big Data computing issues can occur even when the data size is not large compared to what a computer scientist may call Big Data, in obtaining measures of uncertainty using a Monte-Carlo jackknife method.
[1] Kesheng Wu,et al. Extracting Baseline Electricity Usage Using Gradient Tree Boosting , 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).
[2] Jiming Jiang,et al. Mixed model prediction and small area estimation , 2006 .
[3] D. Pfeffermann. Invited discussion of paper by J. Jiang and P. Lahiri: Mixed Model Prediction and Small Area Estimation , 2006 .
[4] Jiming Jiang,et al. A unified jackknife theory for empirical best prediction with M-estimation , 2002 .