Statistics and Computing

Statistics and Computing

ISSNs: 0960-3174

Additional searchable ISSN (Electronic): 1573-1375

Springer New York LLC, United States

Scopus rating (2022): CiteScore 3.6 SJR 0.94 SNIP 1.549

Journal

Journal Metrics

Research Output

  1. 2023
  2. Published

    Model averaging for support vector classifier by cross-validation

    Zou, J., Yuan, C., Zhang, X., Zou, G. & Wan, A. T. K., Oct 2023, In: Statistics and Computing. 33, 5, 117.

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

    Scopus citations: 1
    Check@CityULib
  3. 2022
  4. Published

    Identifiability and parameter estimation of the overlapped stochastic co-block model

    Zhang, J. & Wang, J., Aug 2022, In: Statistics and Computing. 32, 4, 57.

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

    Scopus citations: 2
    Check@CityULib
  5. 2017
  6. Published

    Reduced-rank multi-label classification

    Yuan, T. & Wang, J., Jan 2017, In: Statistics and Computing. 27, 1, p. 181-191

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

    Check@CityULib
  7. 2016
  8. Mean and quantile boosting for partially linear additive models

    Tang, X. & Lian, H., 1 Sept 2016, In: Statistics and Computing. 26, 5, p. 997-1008

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

    Scopus citations: 2
    Check@CityULib
  9. Sparse optimal discriminant clustering

    Wang, Y., Fang, Y. & Wang, J., 1 May 2016, In: Statistics and Computing. 26, 3, p. 629-639

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

    Scopus citations: 2
    Check@CityULib
  10. 2015
  11. Bayesian quantile regression for partially linear additive models

    Hu, Y., Zhao, K. & Lian, H., May 2015, In: Statistics and Computing. 25, 3, p. 651-668

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

    Scopus citations: 20
    Check@CityULib
  12. Variable selection and estimation for partially linear single-index models with longitudinal data

    Li, G., Lai, P. & Lian, H., May 2015, In: Statistics and Computing. 25, 3, p. 579-593

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

    Scopus citations: 35
    Check@CityULib
  13. 2014
  14. Empirical likelihood inference for general transformation models with right censored data

    Li, J., Huang, Z. & Lian, H., 1 Nov 2014, In: Statistics and Computing. 24, 6, p. 985-995

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

    Scopus citations: 1
    Check@CityULib
  15. Shrinkage estimation of varying covariate effects based on quantile regression

    Peng, L., Xu, J. & Kutner, N., 1 Sept 2014, In: Statistics and Computing. 24, 5, p. 853-869

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

    Scopus citations: 11
    Check@CityULib
  16. 2013
  17. Bayesian quantile regression for single-index models

    Hu, Y., Gramacy, R. B. & Lian, H., Jul 2013, In: Statistics and Computing. 23, 4, p. 437-454

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

    Scopus citations: 32
    Check@CityULib
  18. 2010
  19. Rank-based variable selection with censored data

    Xu, J., Leng, C. & Ying, Z., Apr 2010, In: Statistics and Computing. 20, 2, p. 165-176

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

    Scopus citations: 27
    Check@CityULib