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Estimation of a density using an improved surrogate model

Kohler, Michael ; Krzyzak, Adam (2021)
Estimation of a density using an improved surrogate model.
In: Electronic Journal of Statistics, 15 (1)
doi: 10.1214/20-EJS1774
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Quantification of uncertainty of a technical system is often based on a surrogate model of a corresponding simulation model. In any application the simulation model will not describe the reality perfectly, and consequently also the surrogate model will be imperfect. In this article we show how observed data of the real technical system can be used to improve such a surrogate model, and we analyze the rate of convergence of density estimates based on the improved surrogate model. The results are illustrated by applying the estimates to simulated and real data.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Kohler, Michael ; Krzyzak, Adam
Art des Eintrags: Bibliographie
Titel: Estimation of a density using an improved surrogate model
Sprache: Englisch
Publikationsjahr: 20 Januar 2021
Verlag: Institute of Mathematical Statistics
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Electronic Journal of Statistics
Jahrgang/Volume einer Zeitschrift: 15
(Heft-)Nummer: 1
DOI: 10.1214/20-EJS1774
URL / URN: https://projecteuclid.org/euclid.ejs/1611046878
Kurzbeschreibung (Abstract):

Quantification of uncertainty of a technical system is often based on a surrogate model of a corresponding simulation model. In any application the simulation model will not describe the reality perfectly, and consequently also the surrogate model will be imperfect. In this article we show how observed data of the real technical system can be used to improve such a surrogate model, and we analyze the rate of convergence of density estimates based on the improved surrogate model. The results are illustrated by applying the estimates to simulated and real data.

Fachbereich(e)/-gebiet(e): 04 Fachbereich Mathematik
04 Fachbereich Mathematik > Stochastik
Hinterlegungsdatum: 09 Feb 2021 09:17
Letzte Änderung: 09 Feb 2021 09:17
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