Variable Bandwidth Kernel Estimators of Regression Curves
In the model $Y_i = g(t_i) + \\varepsilon_i,\\quad i = 1,\\cdots, n,$ where $Y_i$ are given observations, $\\varepsilon_i$ i.i.d. noise variables and $t_i$ nonrandom design poin...
In the model $Y_i = g(t_i) + \\varepsilon_i,\\quad i = 1,\\cdots, n,$ where $Y_i$ are given observations, $\\varepsilon_i$ i.i.d. noise variables and $t_i$ nonrandom design poin...
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