A Bayesian Monte Carlo approach for predicting the spread of infectious diseases
| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.author | Stojanović, Olivera | |
| dc.contributor.author | Leugering, Johannes | |
| dc.contributor.author | Pipa, Gordon | |
| dc.contributor.author | Ghozzi, Stéphane | |
| dc.contributor.author | Ullrich, Alexander | |
| dc.date.accessioned | 2022-04-19T14:02:11Z | - |
| dc.date.available | 2022-04-19T14:02:11Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/51346 | - |
| dc.publisher | Cold Spring Harbor Laboratory | |
| dc.relation.ispartof | bioRxiv | |
| dc.rights | cc-by | |
| dc.subject | Computer science | |
| dc.subject | Monte Carlo method | |
| dc.subject | Posterior probability | |
| dc.subject | Markov chain Monte Carlo | |
| dc.subject | Estimation | |
| dc.subject | Approximate Bayesian computation | |
| dc.subject | Bayesian probability | |
| dc.subject | Bayes' theorem | |
| dc.subject | Inference | |
| dc.subject | Bayesian inference | |
| dc.subject | Econometrics | |
| dc.subject | Statistics | |
| dc.title | A Bayesian Monte Carlo approach for predicting the spread of infectious diseases | |
| dc.type | journal article | |
| dc.identifier.doi | https://doi.org/10.1101/617795 | |
| dc.description.startpage | 617795 | |
| dc.identifier.external | https://openalex.org/W2942286316 | |
| dcterms.oaStatus | true | |
| local.import.sourcefile | openalex_uos_20220409.ris | |
| crisitem.author.dept | Institut für Kognitionswissenschaft | - |
| crisitem.author.deptid | institute28 | - |
| crisitem.author.orcid | 0000-0002-3416-2652 | - |
| crisitem.author.parentorg | FB 08 - Humanwissenschaften | - |
| crisitem.author.grandparentorg | Universität Osnabrück | - |
| crisitem.author.netid | PiGo340 | - |
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