Strong consistency of nearest neighbor kernel regression estimation for stationary dependent sampl

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在相当温和的条件 onk n 下面。强壮的一致性为最近的邻居密度,最近的邻居核回归和一混合的修改最近的邻居核回归被证明静止顺序及时系列上下文。在混合系数上强加的条件是$\\sum\\limits_{ j = 1 }^ \\infty { j ^{一- 1 }(j)^{ 1 - 1/v }< \\infty (一> 1 }$, $v > 1 )或\\sum\\limits_{ j = 1 }^ \\infty { j ^{一- 1 }(j)< \\infty (一> 1 })$
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