Computational Statistics and Data Analysis

Computational Statistics and Data Analysis

ISSNs: 0167-9473

Additional searchable ISSN (Electronic): 1872-7352

Elsevier BV, Netherlands

Scopus rating (2018): CiteScore 1.57 SJR 1.245 SNIP 1.307

Journal

Journal Metrics

Research Output

  1. 2019
  2. Online published

    Quantile regression in big data: A divide and conquer based strategy

    Chen, L. & Zhou, Y., 28 Nov 2019, In : Computational Statistics and Data Analysis. 144, 106892.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  3. Published

    Estimation for single-index models via martingale difference divergence

    Liu, J., Xu, P. & Lian, H., Sep 2019, In : Computational Statistics and Data Analysis. 137, p. 271-284

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  4. Published

    Regression adjustment for treatment effect with multicollinearity in high dimensions

    Yue, L., Li, G., Lian, H. & Wan, X., Jun 2019, In : Computational Statistics and Data Analysis. 134, p. 17-35

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  5. Published

    Pursuit of dynamic structure in quantile additive models with longitudinal data

    Cui, X., Zhao, W., Lian, H. & Liang, H., Feb 2019, In : Computational Statistics and Data Analysis. 130, p. 42-60

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  6. Robust tests for gene–environment interaction in case-control and case-only designs

    Zang, Y., Fung, W. K., Cao, S., Ng, H. K. T. & Zhang, C., Jan 2019, In : Computational Statistics and Data Analysis. 129, p. 79-92

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  7. 2018
  8. Published

    A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction

    Zhao, W., Jiang, X. & Lian, H., Nov 2018, In : Computational Statistics and Data Analysis. 127, p. 269-280

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 3
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  9. Published

    Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models

    Wong, T. S. T., Lam, K. F. & Zhao, V. X., Nov 2018, In : Computational Statistics and Data Analysis. 127, p. 248-257

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 2
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  10. Published

    Optimal designs for dose–response models with linear effects of covariates

    Yu, J., Kong, X., Ai, M. & Tsui, K. L., Nov 2018, In : Computational Statistics and Data Analysis. 127, p. 217-228

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  11. Published

    Time-varying quantile single-index model for multivariate responses

    Zhao, W., Zhou, Y. & Lian, H., Nov 2018, In : Computational Statistics and Data Analysis. 127, p. 32-49

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  12. Approximate nonparametric maximum likelihood for mixture models: A convex optimization approach to fitting arbitrary multivariate mixing distributions

    Feng, L. & Dicker, L. H., Jun 2018, In : Computational Statistics and Data Analysis. 122, p. 80-91

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  13. Published

    Estimation and testing for time-varying quantile single-index models with longitudinal data

    Li, J., Lian, H., Jiang, X. & Song, X., Feb 2018, In : Computational Statistics and Data Analysis. 118, p. 66-83

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 1
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  14. 2017
  15. Published

    Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition

    Li, S., Tso, G. K. F. & Long, L., Nov 2017, In : Computational Statistics and Data Analysis. 115, p. 11-20

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 2
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  16. Published

    Competing risk model with bivariate random effects for clustered survival data

    Lai, X., Yau, K. K. W. & Liu, L., 1 Aug 2017, In : Computational Statistics and Data Analysis. 112, p. 215-223

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 1
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  17. Published

    Composite quantile regression for correlated data

    Zhao, W., Lian, H. & Song, X., May 2017, In : Computational Statistics and Data Analysis. 109, p. 15-33

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 6
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  18. 2016
  19. Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach

    Feng, S., Lian, H. & Zhu, F., 1 Nov 2016, In : Computational Statistics and Data Analysis. 103, p. 139-150

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  20. A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data

    Feng, S., Lian, H. & Xue, L., 1 Oct 2016, In : Computational Statistics and Data Analysis. 102, p. 98-109

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 5
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  21. Robust closed-form estimators for the integer-valued GARCH (1,1) model

    Li, Q., Lian, H. & Zhu, F., 1 Sep 2016, In : Computational Statistics and Data Analysis. 101, p. 209-225

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 7
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  22. Published

    Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects

    Li, R., Wan, A. T. K. & You, J., Aug 2016, In : Computational Statistics and Data Analysis. 100, p. 401-423

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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  23. Estimation and variable selection for proportional response data with partially linear single-index models

    Zhao, W., Lian, H., Zhang, R. & Lai, P., 1 Apr 2016, In : Computational Statistics and Data Analysis. 96, p. 40-56

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 6
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  24. The Expectation-Maximization approach for Bayesian quantile regression

    Zhao, K. & Lian, H., 1 Apr 2016, In : Computational Statistics and Data Analysis. 96, p. 1-11

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

    Scopus citations: 4
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