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Integer‐valued time series

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Abstract Integer‐valued time series data appear in several diverse applications. However, modeling and inference for these types of dependent data pose several questions and interesting problems. The method of generalized linear models turns out to provide a sound framework for modeling and estimation whereby all computations are carried out by well‐established software. I review this area of research and propose some other models. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Applications of Computational Statistics > Signal and Image Processing and Coding

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Applications of Computational Statistics > Signal and Image Processing and Coding

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