Adjusted blockwise empirical likelihood for long memory time series models
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Publication:1663616
DOI10.1007/S10260-017-0403-1zbMath1395.62270OpenAlexW2760688904MaRDI QIDQ1663616
Publication date: 21 August 2018
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-017-0403-1
confidence intervalWilks' theoremadjusted blockwise empirical likelihoodlong memory time series models
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)
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Cites Work
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- Empirical likelihood methods with weakly dependent processes
- Blockwise empirical likelihood for time series of counts
- Adjusted empirical likelihood with high-order precision
- Empirical likelihood for linear models
- Smoothed empirical likelihood confidence intervals for quantiles
- Empirical likelihood confidence intervals for linear regression coefficients
- Comparing empirical likelihood and bootstrap hypothesis tests
- Adjusted empirical likelihood for time series models
- Calibration of the empirical likelihood method for a vector mean
- Empirical likelihood is Bartlett-correctable
- Empirical likelihood inference under stratified random sampling using auxiliary population information
- Empirical likelihood in long-memory time series models
- Blockwise generalized empirical likelihood inference for non-linear dynamic moment conditions models
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Empirical likelihood ratio confidence intervals for a single functional
- Estimating equations, empirical likelihood and constraints on parameters
- Empirical likelihood confidence intervals for the mean of a long‐range dependent process
- The Invariance Principle for Stationary Processes
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