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1 Ergebnisse
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MCMC-driven importance samplers:
Llorente, Fernando
;
Curbelo, Ernesto
;
Martino, Luca
..
F. Llorente, E. Curbelo, L. Martino, V. Elvira, D. Delgado, MCMC‐driven importance samplers, Applied Mathematical Modelling, Volume 111, 2022, Pages 310-331, ISSN 0307-904X, https://doi.org/10.1016/j.apm.2022.06.027. , 2022
Link:
https://hdl.handle.net/10115/24449
RT Journal T1
MCMC-driven importance samplers
UL https://suche.suub.uni-bremen.de/peid=base-ftunivreyjc:oai:eciencia.urjc.es:10115_24449&Exemplar=1&LAN=DE A1 Llorente, Fernando A1 Curbelo, Ernesto A1 Martino, Luca A1 Elvira, V A1 Delgado, D PB Elsevier YR 2022 K1 Bayesian inference K1 Importance sampling K1 Quadrature methods K1 Computational algorithms JF F. Llorente, E. Curbelo, L. Martino, V. Elvira, D. Delgado, MCMC‐driven importance samplers, Applied Mathematical Modelling, Volume 111, 2022, Pages 310-331, ISSN 0307-904X, https://doi.org/10.1016/j.apm.2022.06.027 LK http://dx.doi.org/https://hdl.handle.net/10115/24449 DO https://hdl.handle.net/10115/24449 SF ELIB - SuUB Bremen
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