Publikation: Dissertationsschrift

Acceleration of Bayesian model based data analysis

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Acceleration of Bayesian model based data analysis
Erscheinungsjahr	2019
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Druckschrift
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	01.08.2019 06:04:38
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/61458
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Abstract

Inverse problems for parameter estimation often face a choice between the use of a real-time scheme with strong approximations or rigorous post-processing with explicit uncertainty handling. Plasma physics experiments set a particularly high demand of both and a solution that meets all of these requirements is missing. Standard Bayesian analysis is an excellent tool for the case at hand, with the disadvantage of extensive processing times. This work therefore presents a solution that satisfies the scientific requirements while reducing the need for a speed vs. rigorosity trade-off.

Autor

Trimiño Mora, Humberto

Einrichtung

Fakultät für Informatik und Elektrotechnik (IEF)