Bootstrapping ARMA time series models after model selection
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Publication:6641337
DOI10.1080/03610926.2023.2280546MaRDI QIDQ6641337
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Publication date: 20 November 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
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- On the range of validity of the autoregressive sieve bootstrap
- Theoretical comparison of bootstrap confidence intervals
- The estimation of the order of an ARMA process
- Estimation for autoregressive moving average models in the time and frequency domains
- Estimating the dimension of a model
- Blockwise bootstrapped empirical process for stationary sequences
- Sieve bootstrap for time series
- Resampling methods for dependent data
- Applications of hyperellipsoidal prediction regions
- Bootstraps for time series
- Data-driven nonparametric prediction intervals
- Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals
- Bootstrapping multiple linear regression after variable selection
- Consistent order selection for ARFIMA processes
- Estimation and information in stationary time series
- Time series analysis by state space methods
- On a General Concept of "In Probability"
- EFFICIENT ESTIMATION OF PARAMETERS IN MOVING-AVERAGE MODELS
- ESTIMATION OF AUTOREGRESSIVE MOVING-AVERAGE ORDER GIVEN AN INFINITE NUMBER OF MODELS AND APPROXIMATION OF SPECTRAL DENSITIES
- Gaussian Maximum Likelihood Estimation For ARMA Models. I. Time Series
- Model Selection and Model Averaging
- A method for autoregressive-moving average estimation
- Regression and time series model selection in small samples
- Effects of not Knowing the Order of an Autoregressive Process on the Mean Squared Error of Prediction-1
- Recursive estimation of mixed autoregressive-moving average order
- Selection of the order of an autoregressive model by Akaike's information criterion
- Bootstrap Methods for Time Series
- Lasso-based Variable Selection of ARMA Models
- Time Series
- Robust Multivariate Analysis
- The bootstrap in hypothesis testing
- Linear Regression
- The asymptotic theory of linear time-series models
- On the Statistical Treatment of Linear Stochastic Difference Equations
- Bootstrapping some GLM and survival regression variable selection estimators
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