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For: Cao H, Liu W, Zhou Z. Simultaneous nonparametric regression analysis of sparse longitudinal data. BERNOULLI 2018. [DOI: 10.3150/17-bej952] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Bücher A, Dette H, Heinrichs F. Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators. Ann Stat 2021. [DOI: 10.1214/21-aos2098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
2
Sharghi Ghale-Joogh H, Hosseini-Nasab SME. On mean derivative estimation of longitudinal and functional data: from sparse to dense. Stat Pap (Berl) 2020. [DOI: 10.1007/s00362-020-01173-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
3
Cai L, Jin L, Wang S. Oracally efficient estimation and simultaneous inference in partially linear single-index models for longitudinal data. Electron J Stat 2020. [DOI: 10.1214/20-ejs1723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
4
Chen L, Cao H. Analysis of asynchronous longitudinal data with partially linear models. Electron J Stat 2017. [DOI: 10.1214/17-ejs1266] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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