New Frontiers in Bayesian Statistics: BAYSM 2021, Online, September 1–3
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Bibliographic Details
Other Authors: Argiento, Raffaele (Editor), Camerlenghi, Federico (Editor), Paganin, Sally (Editor)
Format: Electronic eBook
Language:English
Published: Cham Springer International Publishing 2022
Cham Springer
Edition:1st ed. 2022
Series:Springer Proceedings in Mathematics & Statistics 405
Subjects:
Online Access:BTU01
FHD01
FHN01
FHR01
FKE01
FRO01
FWS01
FWS02
HTW01
TUM01
UBM01
UBT01
UBW01
UBY01
UEI01
UPA01
Volltext
Physical Description:1 Online-Ressource (XI, 117 p. 21 illus., 14 illus. in color)
ISBN:9783031164279
ISSN:2194-1017
DOI:10.1007/978-3-031-16427-9