A note on self-weighted quantile estimation for infinite variance quantile autoregression models
From MaRDI portal
Publication:952867
DOI10.1016/j.spl.2008.03.014zbMath1154.62064OpenAlexW2106937797MaRDI QIDQ952867
Publication date: 14 November 2008
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2008.03.014
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20)
Related Items (2)
A Gini Autocovariance Function for Time Series Modelling ⋮ Weighted quantile regression for AR model with infinite variance errors
Cites Work
- Unnamed Item
- Unnamed Item
- Conditional growth charts. (With discussion and rejoinder)
- Censored regression quantiles
- Regression rank scores and regression quantiles
- Longitudinal data analysis using \(t\)-type regression.
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Autoregression quantiles and related rank-scores processes
- Regression Quantiles
- Robust methods of estimation of regression coefficients1
- Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression
- Breakdown points of t-type regression estimators
- Quantile Autoregression
This page was built for publication: A note on self-weighted quantile estimation for infinite variance quantile autoregression models