| dc.contributor.author | Da Costa, Nathaël | |
| dc.contributor.author | Mucsányi, Bálint | |
| dc.contributor.author | Hennig, Philipp | |
| dc.date.accessioned | 2025-10-31T10:36:50Z | |
| dc.date.available | 2025-10-31T10:36:50Z | |
| dc.date.issued | 2025-10-20 | |
| dc.identifier.isbn | 978-3-032-03923-1 | |
| dc.identifier.uri | http://hdl.handle.net/10900/171756 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Springer Nature | de_DE |
| dc.relation.uri | https://doi.org/10.1007/978-3-032-03924-8_13 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | Geometric Gaussian Approximations of Probability Distributions | de_DE |
| dc.type | Article | de_DE |
| utue.publikation.seiten | 125–132 | de_DE |
| utue.personen.roh | Da Costa, Nathaël | |
| utue.personen.roh | Mucsányi, Bálint | |
| utue.personen.roh | Hennig, Philipp | |
| dcterms.isPartOf.ZSTitelID | Geometric Science of Information (GSI 2025) | de_DE |
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