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Título del libro: Air Quality In The 21st Century
Título del capítulo: Bivariate stochastic volatility models applied to Mexico City ozone pollution

Autores UNAM:
ELIANE REGINA RODRIGUES;
Autores externos:

Idioma:
Inglés
Año de publicación:
2011
Resumen:

In this paper, we consider recently introduced bivariate stochastic volatility models commonly used to analyse financial time series, to study problems related to air pollution data. Such models are used here to estimate the volatility of weekly averaged ozone measurements taking into account two different sets of data provided by the monitoring network of Mexico City. A Bayesian analysis is developed using Markov Chain Monte Carlo (MCMC) methods to simulate samples from the joint posterior distributions and perform the estimates of interest. © 2010 Nova Science Publishers, Inc.


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