
Casi desde su aparición, el Filtro de Kalman (KF) ha sido utilizado con éxito en ingeniería de control. Desafortunadamente, muchos de sus principales resultados han sido publicados en revistas de ingeniería, con lenguaje, notación y estilo propios de tal disciplina. En este trabajo, queremos presentar el KF en forma atractiva para los economistas utilizando teoría de la información e inferencia bayesiana.
filtro de Kalman, KF, Economics as a science, Economic history and conditions, HD72-88, Economic growth, development, planning, HC10-1085, inferencia bayesiana, HB71-74, teoría de la información
filtro de Kalman, KF, Economics as a science, Economic history and conditions, HD72-88, Economic growth, development, planning, HC10-1085, inferencia bayesiana, HB71-74, teoría de la información
| 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). | 0 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
