Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines

Autor:	Donald D. Lucas, Matthew Simpson, Devin Francom, Bruno Sansó, Vera Bulaevskaya
Rok vydání:	2019
Předmět:	Statistics and Probability Computer science Bayesian probability Path (graph theory) Statistics Probability and Uncertainty Inverse problem Uncertainty quantification Computer experiment Algorithm Plume
Zdroj:	Journal of the American Statistical Association. 114:1450-1465
ISSN:	1537-274X 0162-1459
DOI:	10.1080/01621459.2018.1562933
Popis:	An atmospheric release of hazardous material, whether accidental or intentional, can be catastrophic for those in the path of the plume. Predicting the path of a plume based on characteristics of t...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cddce8e7a2025c19e68cad19429cee86 https://doi.org/10.1080/01621459.2018.1562933 Zobrazit plný text záznamu