Pages that link to "Item:Q1379905"
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The following pages link to Finite sample performance of deconvolving density estimators (Q1379905):
Displaying 26 items.
- Estimation of a multivariate stochastic volatility density by kernel deconvolution (Q631636) (← links)
- A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment (Q641097) (← links)
- Density estimation with replicate heteroscedastic measurements (Q907087) (← links)
- Practical bandwidth selection in deconvolution kernel density estimation (Q956830) (← links)
- On convergence rates equivalency and sampling strategies in functional deconvolution models (Q973885) (← links)
- Deconvolution boundary kernel method in nonparametric density estimation (Q1015874) (← links)
- Minimizing \(L_ 1\) distance in nonparametric density estimation (Q1120929) (← links)
- Bootstrap bandwidth selection in kernel density estimation from a contaminated sample (Q1881003) (← links)
- Finite-sample confidence envelopes for shape-restricted densities (Q1896269) (← links)
- Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method (Q2023841) (← links)
- Nonparametric estimation of cumulative distribution function from noisy data in the presence of Berkson and classical errors (Q2121424) (← links)
- On the performance of weighted bootstrapped kernel deconvolution density estimators (Q2208395) (← links)
- Deconvolution for an atomic distribution (Q2426835) (← links)
- Nonparametric inference for discretely sampled Lévy processes (Q2428954) (← links)
- A kernel type nonparametric density estimator for decompounding (Q2469647) (← links)
- On optimal kernel choice for deconvolution (Q2507702) (← links)
- Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance (Q2510921) (← links)
- Nonparametric estimation for derivatives of compound distribution (Q2515847) (← links)
- Semiparametric Density Deconvolution (Q3077783) (← links)
- Multi bandwidth kernel estimators for nonparametric deconvolution problems: asymptotics and finite sample performance (Q4526146) (← links)
- Nonparametric volatility density estimation for discrete time models (Q4651100) (← links)
- Low Order Approximations in Deconvolution and Regression with Errors in Variables (Q4665829) (← links)
- Estimation of Integrated Squared Density Derivatives from a Contaminated Sample (Q4672168) (← links)
- Kernel estimations for multivariate density functional with bootstrap (Q4975171) (← links)
- Asymptotic Normality of Kernel-Type Deconvolution Estimators (Q5467704) (← links)
- Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate (Q6631738) (← links)
