Electronic Journal of Statistics

Electronic Journal of Statistics

ISSNs: 1935-7524

Institute of Mathematical Statistics, United States

Scopus rating (2022): CiteScore 1.6 SJR 1.067 SNIP 0.957

Indexed in DOAJ

Journal

Journal Metrics
1 - 9 out of 9Page size: 20

Research Output

  1. 2021
  2. Published

    Learning sparse conditional distribution: An efficient kernel-based approach

    Chen, F., He, X. & Wang, J., 2021, In: Electronic Journal of Statistics. 15, 1, p. 1610-1635

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

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  3. Published

    Sentiment analysis with covariate-assisted word embeddings

    Xu, S., Dai, B. & Wang, J., 2021, In: Electronic Journal of Statistics. 15, 1, p. 3015-3039

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

    Scopus citations: 2
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  4. Published

    Sparse random tensors: Concentration, regularization and applications

    Zhou, Z. & Zhu, Y., 2021, In: Electronic Journal of Statistics. 15, 1, p. 2483-2516

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

    Scopus citations: 3
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  5. 2019
  6. Published

    Additive partially linear models for massive heterogeneous data

    Wang, B., Fang, Y., Lian, H. & Liang, H., 2019, In: Electronic Journal of Statistics. 13, 1, p. 391-431

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

    Scopus citations: 4
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  7. Published

    Query-dependent ranking and its asymptotic properties

    Dai, B. & Wang, J., 2019, In: Electronic Journal of Statistics. 13, 1, p. 465-488

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

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  8. 2017
  9. Online published

    Variable selection for partially linear models via learning gradients

    Yang, L., Fang, Y., Wang, J. & Shao, Y., 8 Aug 2017, (Online published) In: Electronic Journal of Statistics. 11, 2, p. 2907-2930

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

    Scopus citations: 4
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  10. Published

    SiAM: A hybrid of single index models and additive models

    Ma, S., Lian, H., Liang, H. & Carroll, R. J., 2017, In: Electronic Journal of Statistics. 11, 1, p. 2397-2423

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

    Scopus citations: 2
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  11. 2014
  12. Published

    A quantile varying-coefficient regression approach to length-biased data modeling

    Chen, X., Wan, A. T. K. & Zhou, Y., 2014, In: Electronic Journal of Statistics. 8, 2, p. 2514-2540

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

    Scopus citations: 2
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  13. 2012
  14. Published

    Model averaging for varying-coefficient partially linear measurement error models

    Wang, H., Zou, G. & Wan, A. T. K., 2012, In: Electronic Journal of Statistics. 6, p. 1017-1039

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

    Scopus citations: 22
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