Estimation of Square-Integrable Probability Density of a Random Variable

The article investigates the mean-square risk of the estimate of the unknown probability density of a sequence of random observations. It is assumed that the distribution density is a point of an ellipsoid in Hilbert space. It is shown that a linear estimation plan is asymptotically optimal.