Projection estimator minimizing a covariance-adjusted least-squares contrast for regression with common noise and repeated measurements, with risk analysis and data-driven selection.
Risk bounds for model selection via penalization
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Adaptive nonparametric regression from repeated measurements under common noise
Projection estimator minimizing a covariance-adjusted least-squares contrast for regression with common noise and repeated measurements, with risk analysis and data-driven selection.