Statistical Theory Powering Data Science

Junhui Cai

doi:10.1214/19-STS754

Statistical Theory Powering Data Science

2019-11-01

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DOI：10.1214/19-STS754

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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.

Keywords:

Service networks

queueing theory

empirical Bayes

nonparametric estimation

sports statistics

decennial census

house price index

Statistical Theory Powering Data Science

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