  The paper considers so-called adaptive estimations of regression,
distribution density and spectral density of a Gaussian stationary sequence,
asymptotically optimal in order at a growing number of observation on any
regular subspace compactly embedded in space $L_2$, and confidence intervals,
also adaptive, are constructed on their basis for the estimated functions in an
integral norm.
