Comparing time varying regression quantiles under shift invariance
From MaRDI portal
Publication:2692546
DOI10.3150/22-BEJ1509OpenAlexW4321376291MaRDI QIDQ2692546
Publication date: 22 March 2023
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/bernoulli/volume-29/issue-2/Comparing-time-varying-regression-quantiles-under-shift-invariance/10.3150/22-BEJ1509.full
bootstraphypothesis testingconfidence bandlocally stationary processnonparametric quantile regressionCOVID-19comparison of curves
Linear inference, regression (62Jxx) Inference from stochastic processes (62Mxx) Nonparametric inference (62Gxx)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A simple nonparametric estimator of a strictly monotone regression function
- Testing for structural change in regression quantiles
- Nonparametric estimates of regression quantiles and their local Bahadur representation
- Local linear quantile estimation for nonstationary time series
- Confidence bands in nonparametric time series regression
- Efficient estimation for a subclass of shape invariant models
- Nonparametric inference of quantile curves for nonstationary time series
- Quantile regression with varying coefficients
- A central limit theorem for generalized quadratic forms
- Regression rank scores and regression quantiles
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Nonparametric comparison of several regression functions: Exact and asymptotic theory
- Fitting time series models to nonstationary processes
- Gradient-based structural change detection for nonstationary time series M-estimation
- Simultaneous quantile inference for non-stationary long-memory time series
- Towards a general theory for nonlinear locally stationary processes
- Simultaneous confidence bands for linear regression and smoothing
- Identifying shifts between two regression curves
- Detecting relevant changes in the mean of nonstationary processes -- a mass excess approach
- Nonparametric estimation and inference on conditional quantile processes
- Curve registration by nonparametric goodness-of-fit testing
- Semi-parametric estimation of shifts
- Comparing Conditional Quantile Curves
- Non-Crossing Non-Parametric Estimates of Quantile Curves
- Local Linear Quantile Regression
- Trimmed Least Squares Estimation in the Linear Model
- Robust Tests for Heteroscedasticity Based on Regression Quantiles
- Improvement of Kernel Type Density Estimators
- Regression Quantiles
- Quantile smoothing splines
- An Adaptive, Rate-Optimal Test of Linearity for Median Regression Models
- A Lack-of-Fit Test for Quantile Regression
- Simultaneous Inference of Linear Models with Time Varying Coefficients
- Inference of Trends in Time Series
This page was built for publication: Comparing time varying regression quantiles under shift invariance