Sharp optimality for regression with real-time data

A minimax estimator for a nonparametric regression model is proposed when real-time data are assumed and its asymptotic behavior of minimax risk in the sup-norm for the Hölder function class is studied. The optimal rate of convergence and exact minimax constant are found for the estimator.