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- W4366306128 abstract "<abstract><p>This paper studies nonparametric estimations of the derivatives $ r^{(m)}(x) $ of the variance function in a heteroscedastic model. Using a wavelet method, a linear estimator and an adaptive nonlinear estimator are constructed. The convergence rates under $ L^{tilde{p}} (1leq tilde{p} < infty) $ risk of those two wavelet estimators are considered with some mild assumptions. A simulation study is presented to validate the performances of the wavelet estimators.</p></abstract>" @default.
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- W4366306128 date "2023-01-01" @default.
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- W4366306128 title "Wavelet estimations of the derivatives of variance function in heteroscedastic model" @default.
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- W4366306128 doi "https://doi.org/10.3934/math.2023734" @default.
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