Jackknife-blockwise empirical likelihood methods under dependence
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Publication:643294
DOI10.1016/j.jmva.2011.06.009zbMath1352.62053OpenAlexW2085201310MaRDI QIDQ643294
Yongcheng Qi, Liang Peng, Rong Mao Zhang
Publication date: 28 October 2011
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2011.06.009
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) 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
- A review on empirical likelihood methods for regression
- Empirical likelihood ratio confidence regions
- A general resampling scheme for triangular arrays of \(\alpha\)-mixing random variables with application to the problem of spectral density estimation
- Empirical likelihood and general estimating equations
- A frequency domain empirical likelihood for short- and long-range dependence
- Reduce computation in profile empirical likelihood method
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- EMPIRICAL LIKELIHOOD FOR GARCH MODELS
- Empirical likelihood ratio confidence intervals for a single functional
- On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Moment bounds for stationary mixing sequences
- Jackknife Empirical Likelihood
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