We use local polynomial fitting to estimate the nonparametric M-regression function for strongly mixing stationary processes $\{ (Y_i ,\underline X _i )\} $ . We establish a strong uniform consistency ...
We suggest a one-dimensional jump-detection algorithm based on local polynomial fitting for jumps in regression functions (zero-order jumps) or jumps in derivatives (first-order or higher-order jumps) ...
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