Header

UZH-Logo

Maintenance Infos

Comparison Between Suitable Priors for Additive Bayesian Networks


Kratzer, Gilles; Furrer, Reinhard; Pittavino, Marta (2019). Comparison Between Suitable Priors for Additive Bayesian Networks. In: Argiento, Raffaele; Durante, Daniele; Wade, Sara. Bayesian Statistics and New Generations. Cham, Switzerland: Springer, 95-104.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

8 downloads since deposited on 08 Jan 2020
8 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Language:English
Date:1 January 2019
Deposited On:08 Jan 2020 14:38
Last Modified:14 Feb 2020 15:35
Publisher:Springer
Series Name:Springer Proceedings in Mathematics & Statistics (PROMS)
ISSN:2194-1017
ISBN:9783030306106
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-030-30611-3_10

Download

Green Open Access

Content: Published Version
Language: English
Filetype: PDF - Registered users only
Size: 4MB
View at publisher
Download PDF  'Comparison Between Suitable Priors for Additive Bayesian Networks'.
Preview
Content: Submitted Version
Language: English
Filetype: PDF
Size: 355kB
Get full-text in a library