New Development in Empirical Likelihood
Organizer: Yichuan Zhao Department of Mathematics and Statistics, Georgia State University, USA. matyiz@langate.gsu.edu
Chair: Yichuan Zhao Department of Mathematics and Statistics, Georgia State University, USA. matyiz@langate.gsu.edu
Description: Since Owen (1988, 1990) developed confidence intervals for a mean based on i.i.d. complete data, Empirical Likelihood (EL) has become a powerful nonparametric method. The EL method is now being applied to many statistical models for inference on a parameter of interest. This sesssion will reflect recent advance and new developemt in this active research field.
Speakers:
- Empirical likelihood for density-weighted average derivatives. Xuewen Lu, Department of Mathematics and Statistics, University of Calgary, Canada.
- On the Tail Index of A Heavy Tailed Distribution. Yongcheng Qi, Department of Mathematics and Statistics, University of Minnesota, USA.
- Confidence intervals for marginal parameters under fractional linear regression imputation for missing data. Yongsong Qin, School of Mathematical Sciences, Guangxi Normal University, China.
- Semiparametric Model Based Likelihood Inference In the Presence of Missing Responses. Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of Science and Department of Statistics and Actuarial Science, The University of Hong Kong.
- Empirical Likelihood Based Inference for the Calibration Regression Model with Lifetime Medical Cost. Yichuan Zhao, Department of Mathematics and Statistics, Georgia State University, USA.
