Empirical Likelihood in Long-Memory Time Series Models

Empirical Likelihood in Long-Memory Time Series Models
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Book Synopsis Empirical Likelihood in Long-Memory Time Series Models by : Chun Yip Yau

Download or read book Empirical Likelihood in Long-Memory Time Series Models written by Chun Yip Yau and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article studies the empirical likelihood method for long-memory time series models. By virtue of the Whittle likelihood, one obtains a score function that can be viewed as an estimating equation of the parameters of a fractional integrated autoregressive moving average (ARFIMA) model. This score function is used to obtain an empirical likelihood ratio which is shown to be asymptotically chi-square distributed. Confidence regions for the parameters are constructed based on the asymptotic distribution of the empirical likelihood ratio. Bartlett correction and finite sample properties of the empirical likelihood confidence regions are examined.


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