Exploring Uncertainty, Sensitivity and Robust Solutions in Mathematical Programming Through Bayesian Analysis

Autor:	Mike G. Tsionas, Dionisis Philippas, Constantin Zopounidis
Rok vydání:	2022
Předmět:	Economics Econometrics and Finance (miscellaneous) Computer Science Applications
Zdroj:	Computational Economics. 62:205-227
ISSN:	1572-9974 0927-7099
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::441f07baedbb1cd5da6a1881ad212884 https://doi.org/10.1007/s10614-022-10277-z Zobrazit plný text záznamu Full text from SpringerLink