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. 2023
  2. 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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  3. 2021
  4. 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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  5. 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: 2
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  6. 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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  7. 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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  8. 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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  9. 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: 7
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  10. 2020
  11. 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: 5
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  12. 2019
  13. 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: 4
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  14. 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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  15. 2017
  16. 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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  17. 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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  18. 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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  19. 2016
  20. 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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  21. 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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  22. 2015
  23. 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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  24. 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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  25. 2014
  26. 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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  27. 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: 5
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  28. 2012
  29. A note on conditional Akaike information for Poisson regression with random effects

    Lian, H., 2012, In: Electronic Journal of Statistics. 6, p. 1-9

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

    Scopus citations: 15
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