Statistics and Computing

Statistics and Computing

ISSNs: 0960-3174

Additional searchable ISSN (Electronic): 1573-1375

Springer New York LLC, United States

Scopus rating (2021): CiteScore 3.9 SJR 1.125 SNIP 1.639

Journal

Journal Metrics
1 - 10 out of 10Page size: 20

Research Output

  1. 2022
  2. 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 journal › peer-review

    Check@CityULib
  3. 2017
  4. 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 journal › peer-review

    Check@CityULib
  5. 2016

  6. Mean and quantile boosting for partially linear additive models

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

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

    Scopus citations: 1
    Check@CityULib

  7. 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 journal › peer-review

    Scopus citations: 2
    Check@CityULib
  8. 2015

  9. 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 journal › peer-review

    Scopus citations: 16
    Check@CityULib

  10. 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 journal › peer-review

    Scopus citations: 31
    Check@CityULib
  11. 2014

  12. 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 journal › peer-review

    Scopus citations: 1
    Check@CityULib

  13. Shrinkage estimation of varying covariate effects based on quantile regression

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

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

    Scopus citations: 10
    Check@CityULib
  14. 2013

  15. 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 journal › peer-review

    Scopus citations: 29
    Check@CityULib
  16. 2010

  17. 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 journal › peer-review

    Scopus citations: 23
    Check@CityULib