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Change point estimation in noisy Hammerstein integral equations
[thesis]
We consider the inverse regression model Y = Hf (X) + ε for several classes of nonlinear Hammerstein integral operators H. In particular identifiability depending on the integral kernel is discussed. We introduce estimators for parametric functions f with discontinuities of certain order including piecewise polynomials with kinks or jumps or free-knot splines respectively. We derive rates of convergence and asymptotic normality of these estimators and a data example from rheology illustrates
doi:10.53846/goediss-2491
fatcat:dhi3t7s3yzapfozlbnzmp4ouwa