Canadian Journal of Statistics

Canadian Journal of Statistics

ISSNs: 0319-5724

Additional searchable ISSN (electronic): 1708-945X

John Wiley & Sons, Inc., United States

Scopus rating (2023): CiteScore 1.4 SJR 0.508 SNIP 0.723

Journal

Journal Metrics
1 - 11 out of 11Page size: 20

Research Output

  1. 2024
  2. Online published

    Semiparametric estimation for the functional additive hazards model

    Hao, M., Liu, K., Su, W. & Zhao, X., 11 Jan 2024, (Online published) In: Canadian Journal of Statistics. 28 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  3. 2023

  4. Variation Pattern Classification of Functional Data

    JIAO, S., FROSTIG, R. D. & OMBAO, H., Dec 2023, In: Canadian Journal of Statistics. 51, 4, p. 943-958 16 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  5. Divide and conquer for accelerated failure time model with massive time-to-event data

    Su, W., Yin, G., Zhang, J. & Zhao, X., Jun 2023, In: Canadian Journal of Statistics. 51, 2, p. 400-419

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  6. Published

    Missing data analysis with sufficient dimension reduction

    ZHENG, S., WAN, A. T. K. & ZHOU, Y., Jun 2023, In: Canadian Journal of Statistics. 51, 2, p. 630-651

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  7. 2022
  8. Published

    Dummy endogenous treatment effect estimation using high-dimensional instrumental variables

    ZHONG, W., ZHOU, W., FAN, Q. & GAO, Y., Sept 2022, In: Canadian Journal of Statistics. 50, 3, p. 795-819

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 2
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  9. Online published

    Likelihood identifiability and parameter estimation with nonignorable missing data

    ZHENG, S., ZHANG, J. & ZHOU, Y., 27 May 2022, (Online published) In: Canadian Journal of Statistics.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  10. 2021

  11. Sure joint feature screening in nonparametric transformation model for right censored data

    LIU, Y., XU, J. & LI, G., Jun 2021, In: Canadian Journal of Statistics. 49, 2, p. 549-565

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
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  12. 2019

  13. On Bartlett correction of empirical likelihood for regularly spaced spatial data

    CHEN, K., CHAN, N. H., WANG, M. & YAU, C. Y., Sept 2019, In: Canadian Journal of Statistics. 47, 3, p. 455-472

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  14. 2016
  15. Published

    Semiparametric maximum likelihood estimation for a two-sample density ratio model with right-censored data

    Wei, W. & Zhou, Y., Mar 2016, In: Canadian Journal of Statistics. 44, 1, p. 58-81

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  16. 2007

  17. Nonlinear functional models for functional responses in reproducing kernel Hilbert spaces

    Lian, H., Dec 2007, In: Canadian Journal of Statistics. 35, 4, p. 597-606

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 50
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  18. 1989

  19. On the nearly nonstationary seasonal time series

    Chan, N. H., Sept 1989, In: Canadian Journal of Statistics. 17, 3, p. 279-284

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 10
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