M-estimation in nonparametric regression under strong dependence and infinite variance
DOI10.1007/s10463-007-0142-4zbMath1332.62129OpenAlexW2100937434MaRDI QIDQ730760
Ngai Hang Chan, Rong Mao Zhang
Publication date: 30 September 2009
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-007-0142-4
Infinitely divisible distributions; stable distributions (60E07) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric regression with long-range dependence
- Nonparametric regression with heteroscedastic long memory errors
- Weighted sums of i.i.d. random variables attracted to integrals of stable processes
- Comparison of two bandwidth selectors with dependent errors
- M-estimation for autoregression with infinite variance
- Rates of convergence and optimal spectral bandwidth for long range dependence
- Large-sample inference for nonparametric regression with dependent errors
- Nonparametric M-estimation with long-memory errors
- Stable limits of empirical processes of moving averages with infinite variance.
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Asymptotics of empirical processes of long memory moving averages with infinite variance.
- Nonparametric regression under dependent errors with infinite variance
- Nonparametric regression under long-range dependent normal errors
- Bandwidth selection for kernel regression with long-range dependent errors
- Local linear regression estimation under long-range dependence: strong consistency and rates
- Robust Regression with Asymmetric Heavy-Tail Noise Distributions
This page was built for publication: M-estimation in nonparametric regression under strong dependence and infinite variance