Data tilting for time series

Peter Hall and Qiwei Yao

Journal of the Royal Statistical Society Series B, 2003, vol. 65, issue 2, 425-442

Abstract: Summary. We develop a general methodology for tilting time series data. Attention is focused on a large class of regression problems, where errors are expressed through autoregressive processes. The class has a range of important applications and in the context of our work may be used to illustrate the application of tilting methods to interval estimation in regression, robust statistical inference and estimation subject to constraints. The method can be viewed as ‘empirical likelihood with nuisance parameters’.

Date: 2003
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Citations: View citations in EconPapers (13)

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