Estudio del caudal a través de modelos lineales generalizados dinámicos
Keywords:
Bayesian inference, dynamic linear model, flow, Monte Carlo Markov Chains, rainfallAbstract
This document presents an introduction to the normal dynamic linear models and generalized that are an important tool in the analysis of time series under a Bayesian context, where the dynamic change of its parameters can be adapted to evolving circumstances in the data, making it easier their analysis and interpretation. This methodology is implemented for modeling the data of flow and precipitation collected at the station Cabrera Sumapaz River located in the central region of Colombia.
Downloads
Published
2011-04-04
Issue
Section
Articulos
