A Berry-Esseen-type bound for recursive estimators of a density and its derivatives
From MaRDI portal
Publication:1330215
DOI10.1016/0378-3758(94)90138-4zbMath0809.62038OpenAlexW2074783835MaRDI QIDQ1330215
Publication date: 12 July 1994
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(94)90138-4
derivativesdensity estimationBerry-Esseen-type boundrecursive kernel estimatorsconvergence rate of asymptotic distributions
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Non-parametric recursive estimates of a probability density function and its derivatives
- Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
- Remarks on some recursive estimators of a probability density
- On necessary and sufficient conditions for uniform strong consistency of estimators of a density and its derivatives
- Nonparametric Estimation of Derivatives of Average of $\mu $-Densities with Convergence rates and Applications
- Remarks on Some Nonparametric Estimates of a Density Function
- Exact rates of almost sure convergence of a recursive kernel estimate of a probability densiy function: Application to regression and hazard rate estimation
- Berry-esseen type theorems for sequential density estimation
- On a Class of Estimates of the Probability Density Function and mode based on a Random Number of Observations
- Sequential nonparametric density estimation
- Asymptotically optimal discriminant functions for pattern classification
- The accuracy of the normal approximation for minimum contrast estimates
- A Note on Permanents
This page was built for publication: A Berry-Esseen-type bound for recursive estimators of a density and its derivatives
