Selected publications and software

A complete list can be found here. pdf

  1. J. Lu and K. Chen (2022+), A Zero-imputation approach in recommendation systems with data missing heterogeneously.
    Statistica Sinica. to appear. [pdf][supplement][ R code ]
  2. H. Moon and K. Chen (2022), Interpoint-ranking sign covariance for the test of independence.
    Biometrika. 109(1) 165-179. [pdf][supplement][ R code ]
  3. R. Kelly and K. Chen (2022), Distribution free prediction intervals for multiple functional regression.
    Statistics and Its Interface. 15(2) 161-170. [pdf][ R code ]
  4. A. Zhang and K. Chen (2022), Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health.
    Statistica Sinica. 32(1) 345-366. [pdf]
  5. J. Lei, K. Chen, and B. Lynch (2020), Consistent community detection in multi-layer network data.
    Biometrika. 107(1), 61-73. [pdf][ R code ]
  6. Y. Zhang, K. Chen, A. Sampson, K. Hwang, and B. Luna (2019), Node features adjusted stochastic block model.
    J. Computational and Graphical Statistics. 28(2) 362-373. [pdf][ Matlab code ]
  7. H. Zhu, K. Chen, X. Luo, Y. Yuan, and J.L. Wang (2019), FMEM: Functional Mixed effects Models for Longitudinal Functional Responses.
    Statistica Sinica. 29(4) 2007-2033. [pdf] [supplement]
  8. B. Lynch and K. Chen (2018), A Test of Weak Separability for Multi-way Functional Data, with Application to Brain Connectivity Studies.
    Biometrika. 105(4), 815-831. [pdf] [supplement][ Matlab code ]
  9. K. Chen , and J. Lei (2017), Network cross-validation for determining number of communities in network data.
    J. American Statistical Association,113(521), 241-251. [pdf][ R code ]
  10. K. Chen , P. Delicado and H.G. Müller (2016), Modeling functional-valued stochastic processes, with applications to fertility dynamics.
    J. Royal Statistical Society, Series B ,79(1),177-196. [pdf] [supplement] [ R code ]
  11. K. Chen, and J. Lei (2015), Localized functional principal component analysis.
    J. American Statistical Association , 110 , 1266-1275. [pdf][supplement] [ Matlab code ]
  12. K. Chen and H.G. Müller (2014). Modeling conditional distributions for functional responses, with application to traffic monitoring via GPS-enabled mobile phones.
    Technometrics, 56(3), 347-358 [pdf] [ PACE-FFPredRegions ]
  13. K. Chen and H.G. Müller (2012). Modeling repeated functional observations.
    J. American Statistical Association, 107, 1599-1609. [pdf] [supplement][PACE-repf]
  14. K. Chen and H.G. Müller (2012). Conditional quantile analysis when covariates are functions, with application to growth data.
    J. Royal Statistical Society, Series B, 74, 67-89. [pdf][PACE-Quantile]
  15. K. Chen, K. Chen, H.G. Müller and J.L. Wang (2011). Stringing high dimensional data for functional analysis.
    J. American Statistical Association, 106, 275-284. [pdf][PACE-Stringing]