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Bayesian quantile regression and unsupervised learning methods to the US Army and Navy data
Author(s) -
Jong Min Kim,
Chuwen Li,
Il Do Ha
Publication year - 2021
Publication title -
international journal of productivity and quality management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 26
eISSN - 1746-6482
pISSN - 1746-6474
DOI - 10.1504/ijpqm.2021.112016
Subject(s) - navy , cluster analysis , computer science , quantile , quantile regression , univariate , statistics , artificial intelligence , bayesian probability , unsupervised learning , statistical inference , binary classification , machine learning , econometrics , mathematics , multivariate statistics , support vector machine , history , archaeology

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