Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2193-1127

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach ; volume:9 ; number:1 ; day:3 ; month:12 ; year:2020 ; pages:1-20 ; date:12.2020
EPJ Data Science ; 9, Heft 1 (3.12.2020), 1-20, 12.2020

Classification: Wirtschaft

Creator: Yabe, Takahiro
Zhang, Yunchang
Ukkusuri, Satish V.

Contributor: SpringerLink (Online service)

DOI: 10.1140/epjds/s13688-020-00255-6

URN: urn:nbn:de:101:1-2021011219283292152915

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Yabe, Takahiro
Zhang, Yunchang
Ukkusuri, Satish V.
SpringerLink (Online service)

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Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach

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