Adjusted Empirical Likelihood and its Properties

By Jiahua Chen, Asokan Mulayath Variyath, Bovas Abraham. 2008

244 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7673447ed7cae5a6fc191e50b3f36f1bcf3bcdcd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Art B. Owen
2. Sarah C. Emerson
3. Jiahua Chen
4. Yukun Liu
5. Christiane Lemieux
6. Pengfei Li
7. Hiroyuki Kasahara
8. Katsumi Shimotsu

Citations in the corpus

• Calibration of the empirical likelihood method for a vector mean (2009, methodology): “We briefly examine the ability of some these adjustments to correct the behavior of the empirical likelihood ratio test, and focus in particular on the method of Chen et al. (2008) which involves adding an artificial data point to the observed sample.”
• ADJUSTED EMPIRICAL LIKELIHOOD WITH HIGH-ORDER PRECISION (2010, background): “(1991), Corcoran, Davison and Spady (1995), Burnside and Eichenbaum (1996), Corcoran (1998) and Tsao (2004)].”
• Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation (2017, unknown): “As a remedy to the empty set problem, several researchers (Chen et al., 2008; Emerson and Owen, 2009; Liu and Chen, 2010) have suggested use of additional token observations generated from the available data and designed specifically to ensure that Wθ = ∅.”