Adaptive estimation of regression functions, probability densities, and spectral densities

Adaptive estimation methods for application to three classical problems of nonparametric statistics - regression function, probability density, and spectral density - are described. An algorithm for constructing an asymptotically accurate exponential confidence interval in an integral metric and at a point is given.