This 2004 volume offers a broad overview of developments in the
theory and applications of state space modeling. With fourteen
chapters from twenty-three contributors, it offers a unique
synthesis of state space methods and unobserved component models
that are important in a wide range of subjects, including
economics, finance, environmental science, medicine and
engineering. The book is divided into four sections: introductory
papers, testing, Bayesian inference and the bootstrap, and
applications. It will give those unfamiliar with state space models
a flavour of the work being carried out as well as providing
experts with valuable state of the art summaries of different
topics. Offering a useful reference for all, this accessible volume
makes a significant contribution to the literature of this
discipline.
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