Spatial local M-estimation under association
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Publication:745418
DOI10.1007/s00184-006-0119-yzbMath1433.62195OpenAlexW2085565139MaRDI QIDQ745418
Li Degui, Zhang Lixin, Chen Jia
Publication date: 14 October 2015
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-006-0119-y
Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Linear regression; mixed models (62J05)
Cites Work
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- Robust regression function estimation
- Kernel density estimation on random fields
- Variable bandwidth kernel estimators of regression curves
- Variable window width kernel estimates of probability densities
- On the convergence rate in the central limit theorem for associated processes
- Asymptotic maximal deviation of M-smoothers
- An invariance principle for certain dependent sequences
- Kaplan-Meier estimator under association
- Asymptotic normality of random fields of positively or negatively associated processes
- Smooth estimate of quantiles under association
- Local polynomial fitting under association
- Local M-estimator for nonparametric time series.
- Asymptotic normality of the kernel estimate of a probability density function under association
- Spatial kernel regression estimation: weak consistency
- Negative association of random variables, with applications
- Improved variable window kernel estimates of probability densities
- Variable bandwidth and one-step local \(M\)-estimator
- Local linear regression smoothers and their minimax efficiencies
- Local linear spatial regression
- Berry-esseen bounds for smooth estimator of a distribution function under association
- Design-adaptive Nonparametric Regression
- Variable Kernel Estimates of Multivariate Densities
- Weak convergence for smooth estimator of a distribution function under negative association
- Association of Random Variables, with Applications
