Multilevel regression and poststratification corrects socioeconomic sampling bias in CDR mobility estimates, lowering average radius of gyration by 17 percent.
Schneider, Vincent Blondel, Zbigniew Smoreda, Marta C
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A review of data sources, uncertainty incorporation methods, and open challenges in constructing contact matrices for infectious disease epidemiology.
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Correcting socioeconomic bias in mobile phone mobility estimates using multilevel regression and poststratification
Multilevel regression and poststratification corrects socioeconomic sampling bias in CDR mobility estimates, lowering average radius of gyration by 17 percent.