Asymptotic equivalence of spectral density estimation and Gaussian white noise

From MaRDI portal
Publication:847633

DOI10.1214/09-AOS705zbMath1181.62152arXiv0903.1314MaRDI QIDQ847633

Georgi K. Golubev, Michael Nussbaum, Harrison H. Zhou

Publication date: 19 February 2010

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0903.1314



Related Items

Asymptotic equivalence of discretely observed diffusion processes and their Euler scheme: small variance case, Sharp minimax tests for large Toeplitz covariance matrices with repeated observations, Sharp minimax tests for large covariance matrices and adaptation, Asymptotic equivalence of spectral density estimation and Gaussian white noise, A complement to Le Cam's theorem, Gaussianization machines for non-Gaussian function estimation models, Asymptotic equivalence for pure jump Lévy processes with unknown Lévy density and Gaussian white noise, On asymptotically efficient statistical inference on a signal parameter, Quantile coupling inequalities and their applications, Model selection and sharp asymptotic minimaxity, Optimal rates of convergence for estimating Toeplitz covariance matrices, Le cam theory on the comparison of statistical models, Robust adaptive rate-optimal testing for the white noise hypothesis, Statistical inference in compound functional models, Asymptotic equivalence for regression under fractional noise, Asymptotic equivalence for inhomogeneous jump diffusion processes and white noise, Asymptotic equivalence of nonparametric diffusion and Euler scheme experiments, Rate exact Bayesian adaptation with modified block priors, Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation, Asymptotic nonequivalence of density estimation and Gaussian white noise for small densities, Asymptotic equivalence and adaptive estimation for robust nonparametric regression, Asymptotic equivalence for nonparametric regression with dependent errors: Gauss-Markov processes



Cites Work