On estimation of a density and its derivatives
From MaRDI portal
Publication:1050048
DOI10.1007/BF02481046zbMath0512.62051OpenAlexW2104319786MaRDI QIDQ1050048
Publication date: 1982
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02481046
derivativesdensity estimationbounds for momentsrate of almost sure convergencerecursive kernel estimationSingh kernel
Related Items
Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications ⋮ Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Addendum to ``Properties of Hermite series estimation of probability density
- On the exact asymptotic behavior of estimators of a density and its derivatives
- Rates of convergence in empirical Bayes estimation problems: Continuous case
- Improvement on some known nonparametric uniformly consistent estimators of derivatives of a density
- Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
- Properties of Hermite series estimation of probability density
- 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
- Sequential nonparametric density estimation
- On sequential density estimation
- On Convergence in the $L_2$-Norm of Probability Density Estimates
- A Review of Some Non-parametric Methods of Density Estimation
- On Non-Parametric Estimates of Density Functions and Regression Curves
- Asymptotically optimal discriminant functions for pattern classification
- A Note on Permanents
- Nonparametric Probability Density Estimation: I. A Summary of Available Methods
- Nonparametric probability density estimation
- On Estimation of a Probability Density Function and Mode