Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points
Copyright policy )Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points
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- École Polytechnique Fédérale de Lausanne EPFL Switzerland
- King Abdullah University of Science and Technology Saudi Arabia
Learning theory, Approximation theory, Multidimensional problems, Rate of convergence, degree of approximation, Convergence rates, discrete least squares, large deviations, Multivariate polynomial approximation, Best approximation, Chebyshev systems, Large deviations, Approximation by polynomials, Error analysis, learning theory, convergence rates, Discrete least squares, Nonparametric regression and quantile regression, Noisy evaluations, approximation theory, error analysis, multivariate polynomial approximation, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs, noisy evaluations
Learning theory, Approximation theory, Multidimensional problems, Rate of convergence, degree of approximation, Convergence rates, discrete least squares, large deviations, Multivariate polynomial approximation, Best approximation, Chebyshev systems, Large deviations, Approximation by polynomials, Error analysis, learning theory, convergence rates, Discrete least squares, Nonparametric regression and quantile regression, Noisy evaluations, approximation theory, error analysis, multivariate polynomial approximation, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs, noisy evaluations
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