A justification of conditional confidence intervals
From MaRDI portal
Publication:2044389
DOI10.1214/21-EJS1833zbMath1475.62234arXiv1710.00643OpenAlexW3157941611MaRDI QIDQ2044389
Alexander Heinemann, Stephan Smeekes, Eric Beutner
Publication date: 9 August 2021
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.00643
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric tolerance and confidence regions (62G15) Stationary stochastic processes (60G10) Prediction theory (aspects of stochastic processes) (60G25)
Related Items (4)
A residual bootstrap for conditional value-at-risk ⋮ Bootstrap consistency for the Mack bootstrap ⋮ Lasso Inference for High-Dimensional Time Series ⋮ Adaptiveness of the empirical distribution of residuals in semi-parametric conditional location scale models
Cites Work
- Interval forecasts and parameter uncertainty
- Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions
- Discussion: Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions
- Risk-parameter estimation in volatility models
- Improved multivariate prediction regions for Markov process models
- Stationarity and geometric ergodicity of BEKK multivariate GARCH models
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models
- Some results on the convergence of conditional distributions
- Bootstrap prediction for returns and volatilities in GARCH models
- The asymptotic efficiency of improved prediction intervals
- On asymptotic proximity of distributions
- Prediction of multivariate time series by autoregressive model fitting
- The sampling distribution of forecasts from a first-order autoregression
- Mixing: Properties and examples
- Prediction and asymptotics
- Bootstrap prediction intervals for Markov processes
- Generalized autoregressive conditional heteroscedasticity
- Median unbiased forecasts for highly persistent autoregressive processes
- Fitting autoregressive models for prediction
- Short and long run causality measures: theory and inference
- Improved Prediction Intervals and Distribution Functions
- PROPERTIES OF PREDICTORS FOR MULTIVARIATE AUTOREGRESSIVE MODELS WITH ESTIMATED PARAMETERS
- Improved Prediction Limits For AR(p) and ARCH(p) Processes
- Properties of Predictors in Misspecified Autoregressive Time Series Models
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Asymptotic Statistics
- Weakly approaching sequences of random distributions
- The adjustment of prediction intervals to account for errors in parameter estimation
- Bootstrap predictive inference for ARIMA processes
- Real Analysis and Probability
- Improved prediction intervals for stochastic process models
- The Relevance Property For Prediction Intervals
- Wild Bootstrap of the Sample Mean in the Infinite Variance Case
- Robust Statistics
- Threshold heteroskedastic models
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A justification of conditional confidence intervals