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.
Junhui Cai. Avishai Mandelbaum. Chaitra H. Nagaraja. Haipeng Shen. Linda Zhao. "Statistical Theory Powering Data Science." Statist. Sci. 34 (4) 669 - 691, November 2019. https://doi.org/10.1214/19-STS754