https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44666 Wed 19 Oct 2022 13:56:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33401 Wed 04 Sep 2019 12:17:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45608 Wed 02 Nov 2022 14:14:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55807 Tue 25 Jun 2024 09:57:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34897 Tue 03 Sep 2019 18:11:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44022 Thu 29 Feb 2024 14:53:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55165 Thu 18 Apr 2024 15:17:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:733 Thu 11 Jul 2019 17:47:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44084 a, …, a) priors with a < 1 have previously been shown to be inadequate in the presence of zero counts, suggesting that the uniform prior (a = 1) is the preferred candidate. In the presence of many zero counts, however, this prior may not be satisfactory either. A model selection approach is proposed, allowing for the possibility of zero parameters corresponding to zero count categories. This approach results in a posterior mixture of Dirichlet distributions and marginal mixtures of beta distributions, which seem to avoid the problems that potentially result from the various proposed Dirichlet priors, in particular in the context of extreme data with zero counts.]]> Thu 06 Oct 2022 15:06:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6955 Sat 24 Mar 2018 08:38:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27973 Sat 24 Mar 2018 07:38:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:4882 1) seems appropriate, while a beta(a, b) with a < 1 can be too informative. It is thus argued that sensitivity analysis of an informative prior should be based on a consensus posterior corresponding to the Bayes–Laplace prior rather than the Jeffreys prior.]]> Sat 24 Mar 2018 07:22:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24692 Sat 24 Mar 2018 07:10:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41262 Mon 01 Aug 2022 09:21:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53190 Fri 17 Nov 2023 12:01:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33158 Fri 07 Sep 2018 16:33:00 AEST ]]>