Statisticians are finding their place in the emerging field of data science. However, many issues considered “new” in data science have long histories in statistics. Examples of using statistical thinking are illustrated, which range from exploratory data analysis to measuring uncertainty to accommodating nonrandom samples. These examples are then applied to service networks, baseball predictions and official statistics.
Statistical Theory Powering Data Science
Junhui Cai,A. Mandelbaum,Chaitra H. Nagaraja,Haipeng Shen,Linda H. Zhao
Published 2019 in Statistical Science
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- Publication year
2019
- Venue
Statistical Science
- Publication date
2019-11-01
- Fields of study
Mathematics
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Semantic Scholar
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