| dc.contributor.advisor | Fuglstad, Geir-Arne | |
| dc.contributor.advisor | Riebler, Andrea | |
| dc.contributor.author | Hem, Ingeborg Gullikstad | |
| dc.date.accessioned | 2021-06-14T05:45:15Z | |
| dc.date.available | 2021-06-14T05:45:15Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-82-326-6411-5 | |
| dc.identifier.issn | 2703-8084 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2759141 | |
| dc.language.iso | eng | en_US |
| dc.publisher | NTNU | en_US |
| dc.relation.ispartofseries | Doctoral theses at NTNU;2021:215 | |
| dc.relation.haspart | Paper 1: Fuglstad, Geir-Arne; Hem, Ingeborg Gullikstad; Knight, Alexander; Rue, Håvard; Riebler, Andrea Ingeborg. Intuitive Joint Priors for Variance Parameters. Bayesian Analysis 2020 ;Volum 15.(4) s. 1109-1137 https://doi.org/10.1214/19-BA1185
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) (CC BY 4.0) | en_US |
| dc.relation.haspart | Paper 2: Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg. Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge. Genetics 2021 ;Volum 217.(3) https://doi.org/10.1093/genetics/iyab002 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) (CC BY 4.0) | en_US |
| dc.relation.haspart | Paper 3:
Hem, Ingeborg Gullikstad; Fuglstad, Geir-Arne; Riebler,Andrea
makemyprior: Intuitive construction of joint priors for variance parameters in R.
https://arxiv.org/abs/2105.09712 | en_US |
| dc.title | Robustifying Bayesian Hierarchical Models Using Intuitive Prior Elicitation | en_US |
| dc.type | Doctoral thesis | en_US |
| dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410 | en_US |
