Estimation of Change-Point Models

被引:0
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作者
Bai L. [1 ]
机构
[1] University of Lausanne, Lausanne
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D O I
10.1007/s10958-022-05825-9
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摘要
We consider the testing and estimation of change-points, locations where the distribution abruptly changes, in a sequence of observations. Motivated by this problem, in this contribution we first investigate the extremes of Gaussian fields with trend, which then help us to give the asymptotic p-value approximations of the likelihood ratio statistics from change-point models. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
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页码:425 / 441
页数:16
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