
doi: 10.1007/bf02888302
En Inferencia Bayesiana, el uso indiscriminado de distribuciones iniciales impropias “no informativas” da lugar a ciertos resultados insatisfactorios conocidos como paradojas de marginalizacion. Utilizando un nuevo metodo para la construccion de distribuciones iniciales de referencia desarrollado por el autor, se ejemplifica la solucion de tales paradojas con el analisis del problema de inferencia planteado por el coeficiente de variacion.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
