Editorial - European policy responses to climate change: progress on mainstreaming emissions reduction and adaptation

Berkhout, F., Bouwer, L.M., Bayer, J., Bouzid, M., Cabeza, M., Hanger, S., Hof, A., Hunter, P., Meller, L., Patt, A., Pfluger, B., Rayner, T., Reichardt, K., & van Teeffelen, A. (2015). Editorial - European policy responses to climate change: progress on mainstreaming emissions reduction and adaptation. Regional Environmental Change 15 (6) 949-959. 10.100/s10113-015-0801-6.

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Abstract

This paper presents new algorithms for the dynamic generation of scenario trees for multistage stochatic optimization. The different methods described are based on random vectors, which are drawn from conditional distributions given the past and on sample trajectories. The structure of the tree is not determined beforehand, but dynamically adapted to meet a distance criterion, which measures the quality of the approximation. The criterion is built on transportation theory, which is extended to stochastic processes.

Item Type:	Article
Uncontrolled Keywords:	decision trees; optimal transporation; stochastic optimiaztion
Research Programs:	Risk, Policy and Vulnerability (RPV) Risk & Resilience (RISK)
Bibliographic Reference:	Regional Environmental Change; 15(6):949-959 (August 20150) (Published online 5 May 2015)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:53
Last Modified:	27 Aug 2021 17:39
URI:	https://pure.iiasa.ac.at/11420

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