Discontinuities in robust nonparametric regression with α-mixing dependence
From MaRDI portal
Publication:5266573
DOI10.1080/10485252.2017.1303061zbMath1369.62072OpenAlexW2595434565MaRDI QIDQ5266573
Publication date: 16 June 2017
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2017.1303061
change pointsrobust nonparametric regressionmoving blocks bootstrap\(\alpha\)-mixing dependencelocal polynomial M-smoothersdiscontinuity in regression
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items
Change point detection for nonparametric regression under strongly mixing process, Changepoint detection by the quantile Lasso method
Cites Work
- Nonparametric simultaneous testing for structural breaks
- Kernel estimation for additive models under dependence
- Smoothing and preservation of irregularities using local linear fitting.
- Tests for continuity of regression functions
- Testing for changes in polynomial regression
- Change-points in nonparametric regression analysis
- A general resampling scheme for triangular arrays of \(\alpha\)-mixing random variables with application to the problem of spectral density estimation
- Change point estimation using nonparametric regression
- A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
- Limiting behavior of the perturbed empirical distribution functions evaluated at \(U\)-statistics for strongly mixing sequences of random variables
- The moving blocks bootstrap and robust inference for linear least squares and quantile regressions
- Asymptotic distribution of smoothers based on local means and local medians under dependence
- On the asymptotic normality of sequences of weak dependent random variables
- Nonparametric inference on structural breaks
- Cross-validation in nonparametric regression with outliers
- Robust smoothing: smoothing parameter selection and applications to fluorescence spectroscopy
- Curve Fitting Under Jump and Peak Irregularities Using Local Linear Regression
- Bandwidth selection in robust smoothing
- Moment bounds for stationary mixing sequences
- Change-Point Detection With Non-Parametric Regression
- The Invariance Principle for Stationary Processes
- Unnamed Item