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Empirical likelihood of conditional quantile difference with left-truncated and dependent data. J Korean Stat Soc 2020. [DOI: 10.1007/s42952-019-00045-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Shen Y, Liang HY, Fan GL. Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information. COMMUN STAT-THEOR M 2017. [DOI: 10.1080/03610926.2017.1335413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Yu Shen
- School of Mathematical Science, Tongji University, Shanghai, P. R. China
| | - Han-Ying Liang
- School of Mathematical Science, Tongji University, Shanghai, P. R. China
| | - Guo-Liang Fan
- School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, P. R. China
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Fan GL, Xu HX, Liang HY. Empirical likelihood inference for partially time-varying coefficient errors-in-variables models. Electron J Stat 2012. [DOI: 10.1214/12-ejs701] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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