| dc.creator | Carriquiry, Alicia L. | |
| dc.creator | Kliemann, Wolfgang | |
| dc.date | 2017-04-12 | |
| dc.identifier | http://www.revistaproyecciones.cl/article/view/1425 | |
| dc.identifier | 10.4067/S0716-09172007000300006 | |
| dc.description | Mixed linear models, also known as two-level hierarchical models, are commonly used in many applications. In this paper, we consider the marginal distribution that arises within a Bayesian framework, when the components of variance are integrated out of the joint posterior distribution. We provide analytical tools for describing the surface of the distribution of interest. The main theorem and its proof show how to determine the number of local maxima, and their approximate location and relative size. This information can be used by practitioners to assess the performance of Laplace-type integral approximations, to compute possibly disconnected highest posterior density regions, and to custom-design numerical algorithms. | es-ES |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Universidad Católica del Norte. | es-ES |
| dc.relation | http://www.revistaproyecciones.cl/article/view/1425/1212 | |
| dc.rights | Derechos de autor 2007 Proyecciones. Journal of Mathematics | es-ES |
| dc.source | Proyecciones. Journal of Mathematics; Vol 26 No 3 (2007); 281-308 | en-US |
| dc.source | Proyecciones. Revista de Matemática; Vol. 26 Núm. 3 (2007); 281-308 | es-ES |
| dc.source | 0717-6279 | |
| dc.source | 0716-0917 | |
| dc.title | The modes of posterior distributions for mixed linear models | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Artículo revisado por pares | es-ES |
