Media type: Book; Thesis Title: Numerical methods for Bayesian inference in Hilbert spaces Contributor: Sprungk, Björn [Author] Published: Chemnitz: Universitätsverlag Chemnitz, 2017 Extent: 257 Seiten; Illustrationen, Diagramme; 21 cm Language: English ISBN: 9783961000289; 396100028X RVK notation: SK 820 : Stochastische Prozesse Keywords: Stochastische Differentialgleichung > Hilbert-Raum > Bayes-Inferenz > Kalman-Filter > Markov-Ketten-Monte-Carlo-Verfahren Origination: University thesis: Dissertation, Technische Universität Chemnitz, 2017 Footnote: Literaturverzeichnis: Seite 243-257
Central Library – stack Shelf-mark: 2018 8 007536 Item ID: 33102023 Status: Place order for use in library, no dispatch by interlibrary loan; delivery of photocopies possible > Ordering possible ‒ please log in Orders received from Mon - Fri by 1 pm are expected to be ready for you on the same day.