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Quantitative scenario design with Bayesian model averaging: constructing consistent scenarios for quantitative models exemplified for energy economics

Crossref DOI link: https://doi.org/10.1186/s13705-018-0162-3

Published Online: 2018-07-09

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Culka, Monika http://orcid.org/0000-0002-8580-9452
Funding

Funding for this research was provided by:

Karlsruher Institut für Technologie (Energy Scenario School)
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Text and Data Mining valid from 2018-07-09
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Article History

Received: 18 December 2017

Accepted: 6 June 2018

First Online: 9 July 2018

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