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For: Liang H, de Uña-álvarez J. Empirical likelihood for conditional quantile with left-truncated and dependent data. ANN I STAT MATH 2012;64:765-90. [DOI: 10.1007/s10463-011-0335-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Number Cited by Other Article(s)
1
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]
2
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]
3
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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