| Predicate |
Object |
| contentType |
Journal Article |
| issn |
1099-4300 |
| issueIdentifier |
8 |
| pageRange |
990- |
| publicationName |
Entropy (Basel, Switzerland) |
| startingPage |
990 |
| bibliographicCitation |
Galy-Fajou T, Perrone V, Opper M. Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation. Entropy (Basel). 2021 Jul 30;23(8). PMID: 34441130; PMCID: PMC8393997. |
| creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-3528-3536
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_83490e4e2468a10b8d46a6ab17805f5c
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-2856-7589 |
| date |
2021-07-30^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/PMC8393997
https://pubmed.ncbi.nlm.nih.gov/34441130
https://doi.org/10.3390/e23080990 |
| isPartOf |
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/36201
https://portal.issn.org/resource/ISSN/1099-4300 |
| language |
English |
| source |
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/ |
| title |
Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation |