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== Abstract ==
<p>This paper presents an overview of studies on<br>
numerical analysis of various kinds of uncertainties in integrated models<br>
climate and economy. Applications of uncertainty analysis techniques are considered as<br>
for deterministic models (Monte Carlo experiments, sensitivity analysis),<br>
and for stochastic models of climate and economy (stochastic dynamic<br>
programming).</p>
== Full document ==
<pdf>Media:Draft_Семенов_173587014-8996-document.pdf</pdf>
Return to Shumilov Семенов 2022a.
Published on 06/01/23
Submitted on 29/12/22
Licence: CC BY-NC-SA license
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