 Pointwise minimax rate for Hölder density estimation

Over a one-dimensional Hölder density class of smoothness $\beta$, the optimized pointwise mean-squared error has order $n^{-2\beta /(2\beta +1)}$. A kernel of sufficiently high order balances squared bias $h^{2\beta }$ against variance $(nh{)}^{-1}$.