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

Research Output

  1. 2024
  2. Published

    Adaptive randomization in network data

    Zhou, Z., Li, P. & Hu, F., 2024, In: Electronic Journal of Statistics. 18, 1, p. 47-76

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  3. 2023
  4. Sieve estimation of semiparametric accelerated mean models with panel count data

    Hu, X., Su, W. & Zhao, X., Jan 2023, In: Electronic Journal of Statistics. 17, 1, p. 1316-1343

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  5. 2021
  6. Bi-selection in the high-dimensional additive hazards regression model

    Liu, L., Su, W. & Zhao, X., 2021, In: Electronic Journal of Statistics. 15, 1, p. 748-772

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  7. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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  8. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  9. Shape-preserving Prediction for Stationary Functional Time Series

    Jiao, S. & Ombao, H., 2021, In: Electronic Journal of Statistics. 15, 2, p. 3996-4026

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  10. Smoothness estimation of nonstationary Gaussian random fields from irregularly spaced data observed along a curve

    Wen, J., Sun, S. & Loh, W., 2021, In: Electronic Journal of Statistics. 15, 2, p. 6071-6150

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  11. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 8
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  12. 2020
  13. Rate optimal Chernoff bound and application to community detection in the stochastic block models

    Zhou, Z. & Li, P., 2020, In: Electronic Journal of Statistics. 14, 1, p. 1302–1347

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 6
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  14. 2019
  15. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 7
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  16. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

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  17. 2017
  18. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 5
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  19. Estimation of false discovery proportion in multiple testing: From normal to chi-squared test statistics

    Du, L. & Zhang, C., 2017, In: Electronic Journal of Statistics. 11, 1, p. 1048-1091

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  20. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  21. 2016
  22. Empirical likelihood based tests for stochastic ordering under right censorship

    Chang, H. & McKeague, I. W., 2016, In: Electronic Journal of Statistics. 10, 2, p. 2511-2536

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 7
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  23. Model selection of hierarchically structured covariates using elastic net

    Qiao, W., Lian, H. & Xie, M., 2016, In: Electronic Journal of Statistics. 10, 2, p. 3775-3806 A67.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  24. 2015
  25. Stochastic integral convergence: A white noise calculus approach

    Ng, C. T. & Chan, N. H., 29 Sept 2015, In: Electronic Journal of Statistics. 9, 2, p. 2035-2057

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  26. Variance function additive partial linear models

    Fang, Y., Lian, H., Liang, H. & Ruppert, D., 19 Aug 2015, In: Electronic Journal of Statistics. 9, 2, p. 2793-2827

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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  27. 2014
  28. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  29. On the Bartlett correction of empirical likelihood for Gaussian long-memory time series

    Chan, N. H., Chen, K. & Yau, C. Y., 2014, In: Electronic Journal of Statistics. 8, p. 1460-1490

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 6
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