Artículos de revistas
Using stochastic volatility models to analyse weekly ozone averages in Mexico City
Fecha
2011Registro en:
ENVIRONMENTAL AND ECOLOGICAL STATISTICS, AMSTERDAM, v.18, n.2, p.271-290, 2011
1352-8505
10.1007/s10651-010-0132-1
Autor
ACHCAR, Jorge A.
RODRIGUES, Eliane R.
TZINTZUN, Guadalupe
Institución
Resumen
In this paper we make use of some stochastic volatility models to analyse the behaviour of a weekly ozone average measurements series. The models considered here have been used previously in problems related to financial time series. Two models are considered and their parameters are estimated using a Bayesian approach based on Markov chain Monte Carlo (MCMC) methods. Both models are applied to the data provided by the monitoring network of the Metropolitan Area of Mexico City. The selection of the best model for that specific data set is performed using the Deviance Information Criterion and the Conditional Predictive Ordinate method.