Exploiting big data in logistics risk assessment via Bayesian nonparametrics
Yan Shang, David Dunson, Jing-Sheng Song
| Year of publication: |
November-December 2017
|
|---|---|
| Authors: | Shang, Yan ; Dunson, David B. ; Song, Jing-Sheng |
| Published in: |
Operations research. - Catonsville, MD : INFORMS, ISSN 0030-364X, ZDB-ID 123389-0. - Vol. 65.2017, 6, p. 1574-1588
|
| Subject: | Bayesian statistics | big data | disruptions and risks | empirical | international air cargo logistics | nonparametric | probit stick-breaking mixture model | Bayes-Statistik | Bayesian inference | Big Data | Big data | Nichtparametrisches Verfahren | Nonparametric statistics | Logistik | Logistics | Luftfrachtverkehr | Air cargo transport | Data Mining | Data mining | Theorie | Theory | Risiko | Risk |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/opre.2017.1612 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011777806