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pro vyhledávání: '"Jürgen Pilz"'
Publikováno v:
Applied Mathematical Modelling. 65:586-596
When powerful numerical tools like the finite element method encounter their limits for the evaluation of physical systems it is very common to use surrogate models as an approximation. There are many possible choices concerning the model approach, a
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319760346
Recent years have witnessed the development of powerful numerical methods to emulate realistic physical systems and their integration into the industrial product development process. Today, finite element simulations have become a standard tool to he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcbc7c22d91143bbe84a994f87a541fa
https://doi.org/10.1007/978-3-319-76035-3_11
https://doi.org/10.1007/978-3-319-76035-3_11
Autor:
Hannes Kazianka, Jürgen Pilz
Publikováno v:
Canadian Journal of Statistics. 40:304-327
The authors develop default priors for the Gaussian random field model that includes a nugget parameter accounting for the effects of microscale variations and measurement errors. They present the independence Jeffreys prior, the Jeffreys-rule prior