Pages that link to "Item:Q1209605"
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The following pages link to Asymptotic normality for deconvolution estimators of multivariate densities of stationary processes (Q1209605):
Displaying 39 items.
- Nonparametric specification tests for stochastic volatility models based on volatility density (Q494406) (← links)
- Strong consistency and rates for deconvolution of multivariate densities of stationary processes (Q689165) (← links)
- Optimal bandwidth selection for multivariate kernel deconvolution density estimation (Q946214) (← links)
- Nonparametric regression for dependent data in the errors-in-variables problem (Q989268) (← links)
- Density estimation with heteroscedastic error (Q1002570) (← links)
- A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples (Q1012537) (← links)
- Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes (Q1206452) (← links)
- Simple kernel estimators for certain nonparametric deconvolution problems (Q1265954) (← links)
- Nonparametric regression with errors in variables and applications (Q1359762) (← links)
- Multivariate probability density estimation by wavelet methods: Strong consistency and rates for stationary time series (Q1382534) (← links)
- Asymptotic normality for \(L_1\) norm kernel estimator of conditional median under \(\alpha\)-mixing dependence (Q1570294) (← links)
- Least squares cross-validation for the kernel deconvolution density estimator (Q1600150) (← links)
- Deconvolving multidimensional density from partially contaminated observations (Q1600747) (← links)
- Deconvolving a density from contaminated dependent observations (Q1915249) (← links)
- Nonparametric deconvolution problem for dependent sequences (Q1951771) (← links)
- Invariance principles for deconvolving kernel density estimation for stationary sequences of random variables (Q1973314) (← links)
- Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method (Q2023841) (← links)
- Bivariate kernel deconvolution with panel data (Q2040666) (← links)
- A review of uncertainty quantification for density estimation (Q2048457) (← links)
- Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error (Q2101478) (← links)
- Estimating multivariate density and its derivatives for mixed measurement error data (Q2146454) (← links)
- Kernel regression estimation with errors-in-variables for random fields (Q2181193) (← links)
- Asymptotic normality for wavelet deconvolution density estimators (Q2278460) (← links)
- Nonparametric inference on Lévy measures of compound Poisson-driven Ornstein-Uhlenbeck processes under macroscopic discrete observations (Q2316609) (← links)
- Multivariate partially linear regression in the presence of measurement error (Q2324315) (← links)
- Consistency and asymptotic normality for a nonparametric prediction under measurement errors (Q2350058) (← links)
- Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance (Q2510921) (← links)
- Multivariate probability density deconvolution for stationary random processes (Q3357983) (← links)
- Multivariate regression estimation with errors-in-variables for stationary processes (Q3432363) (← links)
- Asymptotics for TAYLEX and SIMEX estimators in deconvolution of densities (Q3529838) (← links)
- Nonparametric estimation in time series with measurement errors (Q4374248) (← links)
- Nonparametric estimation in econometrics (Q4378923) (← links)
- Nonparametric volatility density estimation for discrete time models (Q4651100) (← links)
- Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem (Q4975411) (← links)
- Nonparametric density estimation from data with a mixture of Berkson and classical errors (Q5421213) (← links)
- Finite sample penalization in adaptive density deconvolution (Q5454207) (← links)
- Asymptotic Normality of Kernel-Type Deconvolution Estimators (Q5467704) (← links)
- Parameter estimation for diffusion process from perturbed discrete observations (Q6116461) (← links)
- Density deconvolution with associated stationary data. (Q6136992) (← links)
