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Wang BH, Liang HY. Empirical likelihood in single-index quantile regression with high dimensional and missing observations. J Stat Plan Inference 2023. [DOI: 10.1016/j.jspi.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Hu YP, Liang HY. Empirical likelihood in single-index partially functional linear model with missing observations. COMMUN STAT-THEOR M 2022. [DOI: 10.1080/03610926.2022.2094413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Yan-Ping Hu
- School of Mathematical Sciences, Tongji University, Shanghai, P.R. China
| | - Han-Ying Liang
- School of Mathematical Sciences, Tongji University, Shanghai, P.R. China
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Liu CS, Liang HY. Bayesian analysis in single-index quantile regression with missing observation. COMMUN STAT-THEOR M 2022. [DOI: 10.1080/03610926.2022.2042027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Chang-Sheng Liu
- School of Mathematical Sciences, Tongji University, Shanghai, China
| | - Han-Ying Liang
- School of Mathematical Sciences, Tongji University, Shanghai, China
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