Exploiting big data in logistics risk assessment via Bayesian nonparametrics

Operations Research

Volumn 65, Issue 6, 2017, Pages 1574-1588

  Shang, Yan ^a   Dunson, David ^b   Song, Jing Sheng ^c  

^a FACEBOOK   (United States)

^b Duke University   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

Bayesian statistics; Big data; Disruptions and risks; Empirical; International air cargo logistics; Nonparametric; Probit stick breaking mixture model

Indexed keywords

AIR TRANSPORTATION; BIG DATA; FREIGHT TRANSPORTATION; INVESTMENTS; MIXTURES; RISK PERCEPTION; TRANSPORTATION ROUTES;

AIR CARGO; BAYESIAN STATISTICS; EMPIRICAL; MIXTURE MODEL; NON-PARAMETRIC;

RISK ASSESSMENT;

EID: 85034595691     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.2017.1612     Document Type: Article

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