Pages that link to "Item:Q3827399"
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The following pages link to Optimal Rates of Convergence for Deconvolving a Density (Q3827399):
Displaying 50 items.
- Measurement error models: from nonparametric methods to deep neural networks (Q2092892) (← 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)
- Global correction of projection estimators under local constraint (Q2131966) (← links)
- Estimating multivariate density and its derivatives for mixed measurement error data (Q2146454) (← links)
- Estimation of varying coefficient models with measurement error (Q2172010) (← links)
- Kernel regression estimation with errors-in-variables for random fields (Q2181193) (← links)
- Robust multivariate density estimation under Gaussian noise (Q2192927) (← links)
- Density deconvolution for generalized skew-symmetric distributions (Q2202941) (← links)
- On the performance of weighted bootstrapped kernel deconvolution density estimators (Q2208395) (← links)
- Point-wise wavelet estimation in the convolution structure density model (Q2218163) (← links)
- Density deconvolution in a non-standard case of heteroscedastic noises (Q2223173) (← links)
- Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one (Q2259535) (← links)
- Uniform confidence bands for nonparametric errors-in-variables regression (Q2280584) (← links)
- Randomized phase III oncology trials: a survey and empirical Bayes inference (Q2321782) (← links)
- Heteroscedastic deconvolution of \({{\mathbb{P}}(X<Y)}\) with compactly supported error densities (Q2321784) (← links)
- Data driven smooth test for contaminated data (Q2324173) (← links)
- Adaptive procedure for Fourier estimators: application to deconvolution and decompounding (Q2326063) (← links)
- Ridge-parameter regularization to deconvolution problem with unknown error distribution (Q2351171) (← links)
- Nonparametric estimation of mixing densities for discrete distributions (Q2368847) (← links)
- Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models (Q2399533) (← links)
- On minimax convergence rates under \(L^p\)-risk for the anisotropic functional deconvolution model (Q2407534) (← links)
- Endpoint estimation for observations with normal measurement errors (Q2418000) (← links)
- Sparse covariance matrix estimation in high-dimensional deconvolution (Q2419664) (← links)
- On deconvolution with repeated measurements (Q2426619) (← links)
- Deconvolution from panel data with unknown error distribution (Q2426739) (← links)
- Deconvolution for an atomic distribution (Q2426835) (← links)
- Global uniform risk bounds for wavelet deconvolution estimators (Q2429928) (← links)
- Adaptive circular deconvolution by model selection under unknown error distribution (Q2435214) (← links)
- Deconvolving compactly supported densities (Q2440597) (← links)
- Robust errors-in-variables linear regression via Laplace distribution (Q2444385) (← links)
- Estimating smooth distribution function in the presence of heteroscedastic measurement errors (Q2445572) (← links)
- A ridge-parameter approach to deconvolution (Q2456010) (← links)
- Testing the suitability of polynomial models in errors-in-variables problems (Q2473077) (← links)
- Adaptive estimation of the transition density of a particular hidden Markov chain (Q2482129) (← links)
- Optimal change-point estimation from indirect observations (Q2493556) (← links)
- Rates of convergence for nonparametric deconvolution (Q2499694) (← links)
- On optimal kernel choice for deconvolution (Q2507702) (← links)
- Estimating the support of multivariate densities under measurement error (Q2507739) (← links)
- Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance (Q2510921) (← links)
- Optimal convergence rates for density estimation from grouped data (Q2643380) (← links)
- A wavelet method for unfolding sphere size distributions (Q2747876) (← links)
- Estimation of a semiparametric recursive bivariate probit model with nonparametric mixing (Q2802853) (← links)
- Nonparametric kernel methods with errors-in-variables: constructing estimators, computing them, and avoiding common mistakes (Q2802866) (← links)
- Fast nonparametric estimation for convolutions of densities (Q2870712) (← links)
- The effects of error magnitude and bandwidth selection for deconvolution with unknown error distribution (Q2892920) (← links)
- Deconvolution methods for non-parametric inference in two-level mixed models (Q2920264) (← links)
- A SPECTRAL METHOD FOR DECONVOLVING A DENSITY (Q3021621) (← links)
- Log-density Deconvolution by Wavelet Thresholding (Q3077769) (← links)
- Semiparametric Density Deconvolution (Q3077783) (← links)
