The empirical likelihood prior applied to bias reduction of general estimating equations
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DOI: 10.1016/j.csda.2019.04.001
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Cited by:
- Chang-Sheng Liu & Han-Ying Liang, 2023. "Bayesian empirical likelihood of quantile regression with missing observations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(3), pages 285-313, April.
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Keywords
Asymptotic bias; Biased estimating equations; Empirical likelihood; Expected Kullback–Leibler distance; Penalized likelihood; Reference prior;All these keywords.
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