Comments on ``Data science, big data and statistics

DOI10.1007/s11749-019-00666-2zbMath1428.62015OpenAlexW2950832451MaRDI QIDQ5970973

Ricardo Cao

Publication date: 18 September 2019

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-019-00666-2

zbMATH Keywords

statisticsbig datadata science

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Bagging predictors
• Bootstrap methods: another look at the jackknife
• Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data
• Maximum likelihood estimation for conditional distribution single-index models under censoring
• Nonparametric estimation for big-but-biased data
• Bootstrapping the mean integrated squared error
• Reducing variability of crossvalidation for smoothing-parameter choice
• A Review and Some New Proposals for Bandwidth Selection in Nonparametric Density Estimation for Dependent Data
• Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation

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