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Motivated by finance and technical applications, the objective of this paperis to consider adaptive estimation of regression and density distribution basedon Fourier-Legendre expansion, and construction of confidence intervals - alsoadaptive. The estimators are asymptotically optimal and adaptive in the sensethat they can adapt to unknown smoothness.

Adaptive Optimal Nonparametric Regression and Density Estimation Based on Fourier-Legendre Expansion