Cross validation for locally stationary processes
classification
🧮 math.ST
stat.TH
keywords
processeslocallystationarycrossvalidationadaptiveapplicableasymptotic
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We propose an adaptive bandwidth selector via cross validation for local M-estimators in locally stationary processes. We prove asymptotic optimality of the procedure under mild conditions on the underlying parameter curves. The results are applicable to a wide range of locally stationary processes such linear and nonlinear processes. A simulation study shows that the method works fairly well also in misspecified situations.
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