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Variance Estimation for Bayesian Dynamic Linear Models

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Variance Estimation for Bayesian Dynamic Linear Models - Triantafyllopoulos, Kostas
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Time series modelling and in particular multivariate time series have received considerable attention in the literature over the past 20 years. Time series data are met in almost all subject areas, such as in economics, engineering, medicine and genetics, to name but a few. One of the key problems of multivariate time series analysis is the estimation of the covariance matrix of the data, as this holds important information of the co-evolution and correlation of the component time series data of interest. The aim of this ...

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Variance Estimation for Bayesian Dynamic Linear Models 2010, LAP Lambert Academic Publishing, Saarbrucken

ISBN-13: 9783843370639

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