Bayesian Reference Analysis for the Generalized Gamma Distribution
Abstract
In this letter, we present a Bayesian reference analysis for the generalized gamma distribution by using a reference prior, which has important properties such as one-to-one invariance under reparametrization, consistent marginalization, consistent sampling, and leads to a proper posterior density. A simulation study is performed in order to verify the efficiency of our proposed methodology.
Más información
| Título según WOS: | ID WOS:000444531700052 Not found in local WOS DB |
| Título de la Revista: | IEEE COMMUNICATIONS LETTERS |
| Volumen: | 22 |
| Número: | 9 |
| Editorial: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Fecha de publicación: | 2018 |
| Página de inicio: | 1950 |
| Página final: | 1953 |
| DOI: |
10.1109/LCOMM.2018.2848232 |
| Notas: | ISI |