Estudio del caudal a través de modelos lineales generalizados dinámicos

Authors

  • Dagoberto Bermúdez Universidad Nacional de Colombia
  • Elmen D’Achiardi Universidad Nacional de Colombia

Keywords:

Bayesian inference, dynamic linear model, flow, Monte Carlo Markov Chains, rainfall

Abstract

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