28 fév 2020 · should we trust more? Xiao-Li Meng Department of Statistics, Harvard University 1 / 14 Stir it well, then a few bits are sufficient regardless of the size of the container 6 / 14 Open Access: https://hdsr mitpress mit edu/
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28 fév 2020 · should we trust more? Xiao-Li Meng Department of Statistics, Harvard University 1 / 14 Stir it well, then a few bits are sufficient regardless of the size of the container 6 / 14 Open Access: https://hdsr mitpress mit edu/
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Big Data and Small Surveys:
Which one should we trust more?
Xiao-Li Meng
Department of Statistics, Harvard UniversityMeng, X.-L. (2018) Statistical Paradises and Paradoxes in Big
Data (I): Law of Large Populations, Big Data Paradox, and The2016 US Election.Annals of Applied StatisticsVol 2: 685-726Many thanks toStephen Ansolabehere and Shiro Kuriwakifor
the CCES (Cooperative Congressional Election Study) data and analysis on 2016 US election.Thanks to many students and colleagues for augmenting my intelligence, and to on-line sources for enhancing my presentation.1 / 14
Big Data and Small Surveys:
Which one should we trust more?
Xiao-Li Meng
Department of Statistics, Harvard UniversityMeng, X.-L. (2018) Statistical Paradises and Paradoxes in Big
Data (I): Law of Large Populations, Big Data Paradox, and The2016 US Election.Annals of Applied StatisticsVol 2: 685-726Many thanks toStephen Ansolabehere and Shiro Kuriwakifor
the CCES (Cooperative Congressional Election Study) data and analysis on 2016 US election.Thanks to many students and colleagues for augmenting my intelligence, and to on-line sources for enhancing my presentation.1 / 14
Big Data and Small Surveys:
Which one should we trust more?
Xiao-Li Meng
Department of Statistics, Harvard UniversityMeng, X.-L. (2018) Statistical Paradises and Paradoxes in Big
Data (I): Law of Large Populations, Big Data Paradox, and The2016 US Election.Annals of Applied StatisticsVol 2: 685-726Many thanks toStephen Ansolabehere and Shiro Kuriwakifor
the CCES (Cooperative Congressional Election Study) data and analysis on 2016 US election.Thanks to many students and colleagues for augmenting my intelligence, and to on-line sources for enhancing my presentation.1 / 14
Big Data and Small Surveys:
Which one should we trust more?
Xiao-Li Meng
Department of Statistics, Harvard UniversityMeng, X.-L. (2018) Statistical Paradises and Paradoxes in Big
Data (I): Law of Large Populations, Big Data Paradox, and The