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Probability Forecast Combination via Entropy Regularized Wasserstein Distance

We propose probability and density forecast combination methods that are defined using the entropy regularized Wasserstein distance. First, we provide a theoretical characterization of the combined density forecast based on the regularized Wasserstein distance under the assumption. More specifically...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Main Authors: Cumings-Menon, Ryan, Shin, Minchul
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7597186/
https://ncbi.nlm.nih.gov/pubmed/33286698
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22090929
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