Pages that link to "Item:Q806852"

The following pages link to On the optimal rates of convergence for nonparametric deconvolution problems (Q806852):

Displaying 50 items.

• On local uniformity for estimators and confidence limits (Q1972158) (← links)
• Invariance principles for deconvolving kernel density estimation for stationary sequences of random variables (Q1973314) (← links)
• Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems (Q1974073) (← links)
• On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
• Strong identifiability and optimal minimax rates for finite mixture estimation (Q1991679) (← links)
• Convolution without independence (Q2000864) (← links)
• Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method (Q2023841) (← links)
• Adaptive and optimal pointwise deconvolution density estimations by wavelets (Q2026119) (← links)
• Density deconvolution under general assumptions on the distribution of measurement errors (Q2039776) (← links)
• Estimation of convex supports from noisy measurements (Q2040036) (← links)
• A survey of nonparametric mixing density estimation via the predictive recursion algorithm (Q2040663) (← links)
• Bivariate kernel deconvolution with panel data (Q2040666) (← links)
• Density deconvolution with non-standard error distributions: rates of convergence and adaptive estimation (Q2044419) (← links)
• Spectral cut-off regularisation for density estimation under multiplicative measurement errors (Q2044425) (← links)
• Distribution estimation of a sum random variable from noisy samples (Q2048984) (← links)
• Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error (Q2101478) (← links)
• Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies (Q2106786) (← links)
• Deconvolution with unknown noise distribution is possible for multivariate signals (Q2119230) (← links)
• Nonparametric estimation of cumulative distribution function from noisy data in the presence of Berkson and classical errors (Q2121424) (← links)
• On relaxing the distributional assumption of stochastic frontier models (Q2131879) (← links)
• Obtaining minimax lower bounds: a review (Q2131929) (← links)
• Global correction of projection estimators under local constraint (Q2131966) (← links)
• Estimation of the global mode of a density: minimaxity, adaptation, and computational complexity (Q2137814) (← links)
• Anisotropic spectral cut-off estimation under multiplicative measurement errors (Q2140868) (← links)
• Estimating multivariate density and its derivatives for mixed measurement error data (Q2146454) (← links)
• Asymptotic normality of the deconvolution kernel density estimator based on independent right censored data (Q2153134) (← links)
• Nonparametric jump variation measures from options (Q2171999) (← links)
• Nonparametric density estimation from observations with multiplicative measurement errors (Q2179230) (← links)
• Kernel regression estimation with errors-in-variables for random fields (Q2181193) (← links)
• Density deconvolution for generalized skew-symmetric distributions (Q2202941) (← links)
• Testing and inference for fixed times of discontinuity in semimartingales (Q2203627) (← links)
• Estimating the division rate from indirect measurements of single cells (Q2211459) (← links)
• Point-wise wavelet estimation in the convolution structure density model (Q2218163) (← links)
• Estimation and inference in semi-functional partially linear measurement error models (Q2219871) (← links)
• Density deconvolution in a non-standard case of heteroscedastic noises (Q2223173) (← links)
• Anisotropic multivariate deconvolution using projection on the Laguerre basis (Q2242844) (← links)
• Specification test for Markov models with measurement errors (Q2252889) (← links)
• Empirical likelihood for partly linear models with errors in all variables (Q2252901) (← links)
• Asymptotics for spectral regularization estimators in statistical inverse problems (Q2255829) (← links)
• Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one (Q2259535) (← links)
• Deconvolution of a cumulative distribution function with some non-standard noise densities (Q2273578) (← links)
• Uniform confidence bands for nonparametric errors-in-variables regression (Q2280584) (← links)
• Measurement errors in quantile regression models (Q2294517) (← links)
• Inference on distribution functions under measurement error (Q2295806) (← links)
• Estimation in linear regression with Laplace measurement error using Tweedie-type formula (Q2320631) (← links)
• Goodness-of-fit testing the error distribution in multivariate indirect regression (Q2323938) (← links)
• Data driven smooth test for contaminated data (Q2324173) (← links)
• Adaptive procedure for Fourier estimators: application to deconvolution and decompounding (Q2326063) (← links)
• Nonparametric intensity estimation from noisy observations of a Poisson process under unknown error distribution (Q2338100) (← links)
• Minimax fast rates for discriminant analysis with errors in variables (Q2345118) (← links)