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• W2113405802 abstract "Abstract. The nearest-neighbour method, because of its intuitively appealing nature and competitive theoretical properties, deserves consideration in time-series applications akin to attention it has received lately in the i.i.d. case. Here it is shown that as a nonparametric regression device, like the kernel method, under the G2 mixing assumption, it converges in quadratic mean at the Stone-optimal rate. In the closing sections, our methodology is extended to a broader pattern-recognition context, and applied to hydrologic data." @default.
• W2113405802 created "2016-06-24" @default.
• W2113405802 creator A5084036094 @default.
• W2113405802 date "1987-03-01" @default.
• W2113405802 modified "2023-09-26" @default.
• W2113405802 title "NEAREST-NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS" @default.
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• W2113405802 doi "https://doi.org/10.1111/j.1467-9892.1987.tb00435.x" @default.
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