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Vol 16 No 12007
large deviations asymptotic efficiency and conditions
Change point estimation by local linear smoothing under a weak dependence condition
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12 issues apply assume assumptions asymptotic bandwidth Bayes estimator Bayesian bootstrap characterizations Chemistry coefficients Computer condition consider constant convex aggregation Corollary corresponding deconvolution defined denote density matrix depend derivative exponential fc=i Fourier Gaussian given Hence hypothesis implies independent integral jump point kernel density estimators Lemma Lilliefors test linear lower bound Markov property Mathematics Mathematics Subject Classification measure minimax monotone Moscow University NEF's nonparametric norm normal Note obtain optimal rate oracle inequality order statistics paper parameter Physics Poisson process polynomial probability density problem proof of Lemma proof of Theorem properties Proposition prove random variables rate of convergence regression function Riemannian Russian Journal sample satisfies Section sequence smoothness Sobolev space spatial Springer test statistic Theorem 4.1 Tomography trimmed mean upper bound vector Wigner function yields zero regression