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 (2023): CiteScore 7.5 SJR 3.922 SNIP 3.007

Journal

Journal Metrics
1 - 20 out of 68Page size: 20

Research Output

  1. 2024
  2. Online published

    Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models

    Zhang, C., Xue, L., Chen, Y., Lian, H. & Qu, A., 16 Dec 2024, (Online published) In: Journal of the American Statistical Association.

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

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  3. Published

    Identifiability and Consistent Estimation for Gaussian Chain Graph Models

    Zhao, R., Zhang, H. & Wang, J., Dec 2024, In: Journal of the American Statistical Association. 119, 548, p. 3101–3112

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

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  4. Online published

    Coefficient Shape Alignment in Multiple Functional Linear Regression

    Jiao, S. & Chan, N.-H., 4 Nov 2024, (Online published) In: Journal of the American Statistical Association. 29 p.

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

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  5. Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget

    Li, C., Sun, S. & Zhu, Y., 18 Jun 2024, In: Journal of the American Statistical Association. 119, 546, p. 1336-1347

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

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  6. Published

    Censored Interquantile Regression Model with Time-Dependent Covariates

    Chu, C. W. & Sit, T., 2024, In: Journal of the American Statistical Association. 119, 546, p. 1592-1603

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

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  7. Published

    Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data

    Wang, L., Wang, Y. X. R., Li, J. J. & Tong, X., 2024, In: Journal of the American Statistical Association. 119, 545, p. 39-51

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

    Scopus citations: 1
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  8. Latent Network Structure Learning From High-Dimensional Multivariate Point Processes

    Cai, B., Zhang, J. & Guan, Y., 2024, In: Journal of the American Statistical Association. 119, 545, p. 95-108

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

    Scopus citations: 3
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  9. On Semiparametrically Dynamic Functional-Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity

    Lu, Z., Ren, X. & Zhang, R., 2024, In: Journal of the American Statistical Association. 119, 546, p. 1032-1043

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

    Scopus citations: 2
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  10. Published

    Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data

    Cai, B., Zhang, J., Li, H., Su, C. & Zhao, H., 2024, In: Journal of the American Statistical Association. 119, 548, p. 2521-2532 13 p.

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

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  11. 2023
  12. Published

    Stochastic tree ensembles for regularized nonlinear regression

    He, J. & Hahn, P. R., Mar 2023, In: Journal of the American Statistical Association. 118, 541, p. 551–570

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

    Scopus citations: 14
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  13. Published

    Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis

    Zu, T., Lian, H., Green, B. & Yu, Y., Mar 2023, In: Journal of the American Statistical Association. 118, 541, p. 97–108

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

    Scopus citations: 7
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  14. Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data

    Xue, H., Shen, X. & Pan, W., 2023, In: Journal of the American Statistical Association. 118, 543, p. 1525–1537

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

    Scopus citations: 13
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  15. Published

    Community Detection in General Hypergraph via Graph Embedding

    Zhen, Y. & Wang, J., 2023, In: Journal of the American Statistical Association. 118, 543, p. 1620-1629 10 p.

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

    Scopus citations: 14
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  16. False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation

    Du, L., Guo, X., Sun, W. & Zou, C., 2023, In: Journal of the American Statistical Association. 118, 541, p. 607-621

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

    Scopus citations: 28
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  17. Functional Time Series Prediction Under Partial Observation of the Future Curve

    Jiao, S., Aue, A. & Ombao, H., 2023, In: Journal of the American Statistical Association. 118, 541, p. 315-326 12 p.

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

    Scopus citations: 11
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  18. 2022
  19. Published

    Directed Community Detection With Network Embedding

    Zhang, J., He, X. & Wang, J., Dec 2022, In: Journal of the American Statistical Association. 117, 540, p. 1809-1819

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

    Scopus citations: 27
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  20. Published

    High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition

    Wang, D., Zheng, Y., Lian, H. & Li, G., Sept 2022, In: Journal of the American Statistical Association. 117, 539, p. 1338-1356

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

    Scopus citations: 40
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  21. Published

    AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories

    Li, J., Lv, J., Wan, A. T. K. & Liao, J., Mar 2022, In: Journal of the American Statistical Association. 117, 537, p. 495-509 15 p.

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

    Scopus citations: 29
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  22. Published

    Embedding Learning

    Dai, B., Shen, X. & Wang, J., Mar 2022, In: Journal of the American Statistical Association. 117, 537, p. 307-319

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

    Scopus citations: 11
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  23. An Empirical Bayes Method for Chi-Squared Data

    Du, L. & Hu, I., 2022, In: Journal of the American Statistical Association. 117, 537, p. 334-347

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

    Scopus citations: 2
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