Document Zbl 1428.62025

Comments on “Data science, big data and statistics”. (English) Zbl 1428.62025

Test 28, No. 2, 345-348 (2019).

Comment to [P. Galeano and D. Peña, ibid. 28, No. 2, 289–329 (2019; Zbl 1428.62021)].

MSC:

62A01	Foundations and philosophical topics in statistics
68T05	Learning and adaptive systems in artificial intelligence
62M10	Time series, auto-correlation, regression, etc. in statistics (GARCH)
62H12	Estimation in multivariate analysis
62R07	Statistical aspects of big data and data science

Keywords:

data science; big data; statistics

Citations:

Zbl 1428.62021

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References:

[1]	Donoho D (2017) 50 years of data science. J Comput Graph Stat 26(4):745-766 · doi:10.1080/10618600.2017.1384734
[2]	Holland PW (1986) Statistics and causal inference. J Am Stat Assoc 81(396):945-960 · Zbl 0607.62001 · doi:10.1080/01621459.1986.10478354
[3]	Ioannidis JP (2005) Contradicted and Initially stronger effects in highly cited clinical research. JAMA 294(2):218-228 · doi:10.1001/jama.294.2.218
[4]	Ma P, Mahoney M, Yu B (2015) A statistical perspective on algorithmic leveraging. J Mach Learn Res 16:861-911 · Zbl 1337.62164
[5]	Meng XL (2018) Statistical paradises and paradoxes in big data (I): law of large populations, big data paradox, and the 2016 US presidential election. Ann Appl Stat 12(2):685-726 · Zbl 1405.62241 · doi:10.1214/18-AOAS1161SF
[6]	Stigler SM (1986) The history of statistics: the measurement of uncertainty before 1900. Harvard University Press, Cambridge · Zbl 0656.62005
[7]	Wang H, Yang M, Stufken J (2018) Information-based optimal subdata selection for big data linear regression. J Am Stat Assoc 1-13. https://doi.org/10.1080/01621459.2017.1408468 · Zbl 1478.62196

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