Improved density and distribution function estimation
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Publication:2326987
DOI10.1214/19-EJS1619zbMath1437.62134arXiv1711.04793OpenAlexW2978232209MaRDI QIDQ2326987
Vitaliy Oryshchenko, Richard J. Smith
Publication date: 11 October 2019
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1711.04793
Uses Software
Cites Work
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- Large Sample Properties of Generalized Method of Moments Estimators
- On the efficient use of the informational content of estimating equations: implied probabilities and Euclidean empirical likelihood
- On the second-order properties of empirical likelihood with moment restrictions
- Estimation of a distribution from data with small measurement errors
- Strongly consistent density estimation of the regression residual
- Empirical likelihood estimators for the error distribution in nonparametric regression models
- Empirical likelihood ratio confidence regions
- Edgeworth expansions for GEL estimators
- Point estimation with exponentially tilted empirical likelihood
- Validity of the formal Edgeworth expansion when the underlying distribution is partly discrete
- Exact mean integrated squared error
- Residuals density estimation in nonparametric regression
- On the validity of the formal Edgeworth expansion
- Empirical likelihood and general estimating equations
- \(M\)-estimation and quantile estimation in the presence of auxiliary information
- Weak and strong uniform consistency of a kernel error density estimator in nonparametric regression
- On hyperbolic transformations to normality
- Asymptotic efficiency in estimation with conditional moment restrictions
- A note on residual-based empirical likelihood kernel density estimation
- On some global measures of the deviations of density function estimates
- On empirical likelihood statistical functions
- GEL CRITERIA FOR MOMENT CONDITION MODELS
- Implied Probabilities in GMM Estimators
- Remarks on Some Nonparametric Estimates of a Density Function
- Best Nonlinear Three-Stage Least Squares Estimation of Certain Econometric Models
- Improving point and interval estimators of monotone functions by rearrangement
- Transforming the Dependent Variable in Regression Models
- Empirical likelihood ratio confidence intervals for a single functional
- Miscellanea. Bartlett adjustment of empirical discrepancy statistics
- EMPIRICAL LIKELIHOOD‐BASED KERNEL DENSITY ESTIMATION
- An Information-Theoretic Alternative to Generalized Method of Moments Estimation
- A note on kernel density estimation with auxiliary information
- Information Theoretic Approaches to Inference in Moment Condition Models
- Efficient Semiparametric Estimation of Expectations
- Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
- Correction of Density Estimators that are not Densities
- Exact mean integrated squared error and bandwidth selection for kernel distribution function estimators
- Goodness‐of‐fit Tests Based on the Kernel Density Estimator
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Some New Estimates for Distribution Functions
- On Strong Consistency of Density Estimates
- On Estimation of a Probability Density Function and Mode
- A Generalization of the Gamma Distribution
- SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
- Introduction to nonparametric estimation
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