Nonparametric deconvolution problem for dependent sequences
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Publication:1951771
DOI10.1214/07-EJS154zbMath1320.62073arXiv0711.4004OpenAlexW2040313019MaRDI QIDQ1951771
Publication date: 24 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0711.4004
Density estimation (62G07) Nonparametric estimation (62G05) Central limit and other weak theorems (60F05)
Related Items (15)
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Cites Work
- Unnamed Item
- Unnamed Item
- Strong consistency and rates for deconvolution of multivariate densities of stationary processes
- On the optimal rates of convergence for nonparametric deconvolution problems
- Convergence rates in density estimation for data from infinite-order moving average processes
- Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes
- Asymptotic normality for deconvolution estimators of multivariate densities of stationary processes
- Central limit theorem for the empirical process of a linear sequence with long memory
- On the asymptotic mean integrated squared error of a kernel density estimator for dependent data
- Limit theorems for functionals of moving averages
- Empirical processes of long-memory sequences
- Local linear regression estimation for time series with long-range dependence
- On the asymptotic expansion of the empirical process of long-memory moving averages
- Effect of dependence on stochastic measures of accuracy of density estimators
- Local polynomial fitting with long-memory, short-memory and antipersistent errors
- Density estimation under long-range dependence
- Nonparametric statistics for stochastic processes
- On bandwidth choice for density estimation with dependent data
- On the Bahadur representation of sample quantiles for dependent sequences
- Multivariate probability density deconvolution for stationary random processes
- Deconvolving kernel density estimators
- Deconvolving multivariate kernel density estimates from contaminated associated observations
- Optimal Rates of Convergence for Deconvolving a Density
- Nonparametric estimation under long memory dependence
- Kernel density estimation for linear processes
- Local polynomial estimation with a FARIMA-GARCH error process
- Estimating the distribution function of a stationary process involving measurement errors
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