Density estimation for associated sampling: A point process influenced approach
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Publication:4804988
DOI10.1080/10485250213904zbMath1011.62038OpenAlexW1999926702MaRDI QIDQ4804988
Publication date: 5 June 2003
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10316/11461
Related Items (4)
On the convergence rate of fixed design regression estimators for negatively associated random variables ⋮ Kernel density estimation under negative superadditive dependence and its application for real data ⋮ Exponential rates for kernel density estimation under association ⋮ Fixed design regression for negatively associated random fields
Cites Work
- Nonparameteric estimation in mixing sequences of random variables
- An invariance principle for certain dependent sequences
- Density estimation for point processes
- Estimation of the survival function for stationary associated processes
- Kernel estimates under association: Strong uniform consistency
- Asymptotic normality of the kernel estimate of a probability density function under association
- Kernel-type density and failure rate estimation for associated sequences
- Nonparametric statistics for stochastic processes
- A General Approach To Nonparametric Histogram Estimation
- On the Central Limit Theorem for $\varphi$-Mixing Arrays of Random Variables
- Recursive probability density estimation for weakly dependent stationary processes
- Kernel Estimators of General Radon-Nikodym Derivatives
- Estimation à noyau de densités moyennes de mesures aléatoires associées
- Convergence de I'estimateur à noyau de dérivées de Radon-Nikodym générales dans le cas mélangeant
- A general method of density estimation for associated random variables
- Histogram estimation of radon-nikodym derivatives for strong mixing data
- Histograms and associated point processes
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