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- W2396564556 abstract "In this article, we are concerned with detecting the true structure of a functional polynomial regression with autoregressive (AR) errors. The first issue is to detect which orders of the polynomial are significant in functional polynomial regression. The second issue is to detect which orders of the AR process in the AR errors are significant. We propose a shrinkage method to deal with the two problems: polynomial order selection and autoregressive order selection. Simulation studies demonstrate that the new method can identify the true structure. One empirical example is also presented to illustrate the usefulness of our method." @default.
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- W2396564556 date "2016-05-27" @default.
- W2396564556 modified "2023-10-14" @default.
- W2396564556 title "Joint detection for functional polynomial regression with autoregressive errors" @default.
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- W2396564556 doi "https://doi.org/10.1080/03610926.2015.1096384" @default.
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