Asymptotic behaviour of nonparametric conditional quantile estimates for time series
From MaRDI portal
Publication:4855331
DOI10.2307/3315442zbMath0834.62040OpenAlexW2098763054MaRDI QIDQ4855331
Publication date: 8 April 1996
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3315442
derivativesconditional quantile estimationB-spline approximationstrictly stationary sequencebeta-mixingoptimal global convergence ratesB-spline based estimatorsnonparametric regression quantiles
Density estimation (62G07) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Density estimation in the \(L^ \infty\) norm for dependent data with applications to the Gibbs sampler
- Additive regression and other nonparametric models
- Central limit theorems for empirical and \(U\)-processes of stationary mixing sequences
- Rates of convergence for empirical processes of stationary mixing sequences
- Optimal global rates of convergence for nonparametric regression
- Flexible Parsimonious Smoothing and Additive Modeling
- Regression Quantiles
- Quantile smoothing splines
- Convergence of stochastic processes