Bayesian Analysis of Autoregressive Processes: Time and Frequency Domain

Abstract

A Bayesian approach to inferences in the time and frequency domains is developed for multivariate autoregressive models. Examples are presented to demonstrate the use and limitations of the techniques. The approach handles a very wide class of models, including a rich class of nonstationary (and explosive) models. To the best of my knowledge, the AR spectral analysis approach as described in Chapters IV and V is new.Statistic

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