Journal of the American Statistical Association

Journal of the American Statistical Association

ISSNs: 0162-1459, 1522-5445, 1522-5437

Additional searchable ISSN (Electronic): 1537-274X

AMER STATISTICAL ASSOC, United States

Scopus rating (2021): CiteScore 6.7

Journal

Journal Metrics
1 - 20 out of 43Page size: 20

Research Output

  1. 2021
  2. Online published

    Stochastic tree ensembles for regularized nonlinear regression

    He, J. & Hahn, P. R., 14 Jun 2021, (Online published) In: Journal of the American Statistical Association. 72 p.

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

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  3. Online published

    Directed Community Detection With Network Embedding

    Zhang, J., He, X. & Wang, J., 25 Mar 2021, (Online published) In: Journal of the American Statistical Association.

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

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  4. Online published

    High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition

    Wang, D., Zheng, Y., Lian, H. & Li, G., 27 Jan 2021, (Online published) In: Journal of the American Statistical Association.

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

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  5. Published

    Scalable Collaborative Ranking for Personalized Prediction

    Dai, B., Shen, X., Wang, J. & Qu, A., 2021, In: Journal of the American Statistical Association. 116, 535, p. 1215-1223

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

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  6. Transformed Dynamic Quantile Regression on Censored Data

    Chu, C. W., Sit, T. & Xu, G., 2021, In: Journal of the American Statistical Association. 116, 534, p. 874-886

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

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  7. 2020
  8. Online published

    Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization

    Li, Y., Zhu, R., Qu, A., Ye, H. & Sun, Z., 11 Dec 2020, (Online published) In: Journal of the American Statistical Association. 17 p.

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

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  9. Online published

    AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories

    Li, J., Lv, J., Wan, A. T. K. & Liao, J., 18 Aug 2020, (Online published) In: Journal of the American Statistical Association. 16 p.

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

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  10. Online published

    Embedding Learning

    Dai, B., Shen, X. & Wang, J., 20 Jul 2020, (Online published) In: Journal of the American Statistical Association.

    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. 2019
  12. Published

    A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model

    Zhu, R., Wan, A. T. K., Zhang, X. & Zou, G., Jun 2019, In: Journal of the American Statistical Association. 114, 526, p. 882-892

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

    Scopus citations: 18
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  13. 2018
  14. Published

    Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates

    He, K., Lian, H., Ma, S. & Huang, J. Z., 2018, In: Journal of the American Statistical Association. 113, 522, p. 746-754

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

    Scopus citations: 7
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  15. 2017
  16. Published

    A Group-Specific Recommender System

    Bi, X., Qu, A., Wang, J. & Shen, X., 2017, In: Journal of the American Statistical Association. 112, 519, p. 1344-1353

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

    Scopus citations: 11
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  17. 2016
  18. Published

    Classification With Unstructured Predictors and an Application to Sentiment Analysis

    Wang, J., Shen, X., Sun, Y. & Qu, A., 2016, In: Journal of the American Statistical Association. 111, 515, p. 1242-1253

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

    Scopus citations: 10
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  19. 2015

  20. Rejoinder

    MCKEAGUE, I. W. & QIAN, M., Dec 2015, In: Journal of the American Statistical Association. 110, 512, p. 1459-1462

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › Comment/debate › peer-review

    Scopus citations: 1
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  21. An Adaptive Resampling Test for Detecting the Presence of Significant Predictors

    McKeague, I. W. & Qian, M., 2 Oct 2015, In: Journal of the American Statistical Association. 110, 512, p. 1422-1433

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

    Scopus citations: 16
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  22. Published

    Efficient Quantile Regression Analysis With Missing Observations

    Chen, X., Wan, A. T. K. & Zhou, Y., Jun 2015, In: Journal of the American Statistical Association. 110, 510, p. 723-741

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

    Scopus citations: 60
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  23. 2011
  24. Published

    Optimal weight choice for frequentist model average estimators

    Liang, H., Zou, G., Wan, A. T. K. & Zhang, X., 2011, In: Journal of the American Statistical Association. 106, 495, p. 1053-1066

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

    Scopus citations: 113
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  25. 2009

  26. Logistic regression with brownian-like predictors

    Lindquist, M. A. & Mckeague, I. W., Dec 2009, In: Journal of the American Statistical Association. 104, 488, p. 1575-1585

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

    Scopus citations: 24
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  27. On Large Margin Hierarchical Classification With Multiple Paths

    Wang, J., Shen, X. & Pan, W., 2009, In: Journal of the American Statistical Association. 104, 487, p. 1213-1223

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

    Scopus citations: 19
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  28. 2008
  29. Published

    Estimating equations inference with missing data

    Zhou, Y., Wan, A. T. K. & Wang, X., Sep 2008, In: Journal of the American Statistical Association. 103, 483, p. 1187-1199

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

    Scopus citations: 55
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  30. 2006

  31. The hazard potential: Introduction and overview

    Singpurwalla, N. D., Dec 2006, In: Journal of the American Statistical Association. 101, 476, p. 1705-1717

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review

    Scopus citations: 31
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