Statistica Sinica
Displaying 1 - 6 of 6
Wang, Y., Zeng, D., Wang, Y., & Tong, X. (2025). One-Step Regularized Estimator for High-Dimensional Regression Models. Statistica Sinica. https://doi.org/10.5705/ss.202022.0065
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Columbia Affiliation
Sheng, Y., Sun, Y., McCulloch, C. E., & Huang, C.-Y. (2024). Scalable Estimation for High Velocity Survival Data Able to Accommodate Addition of Covariates. Statistica Sinica. https://doi.org/10.5705/ss.202022.0028
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Columbia Affiliation
Yao, Y., & Jin, Z. (2024). A Perturbation Subsampling for Large Scale Data. Statistica Sinica. https://doi.org/10.5705/ss.202022.0020
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Columbia Affiliation
Ghosh, T., Ma, Y., Zhu, W., & Wang, Y. (2024). Learning Non-monotone Optimal Individualized Treatment Regimes. Statistica Sinica. https://doi.org/10.5705/ss.202021.0339
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Columbia Affiliation
Ling, W., Cheng, B., Wei, Y., Willey, J., & Cheung, Y. K. (2022). STATISTICAL INFERENCE IN QUANTILE REGRESSION FOR ZERO-INFLATED OUTCOMES. Statistica Sinica. https://doi.org/10.5705/ss.202020.0368
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Columbia Affiliation
Yu, S., Wang, Y., Wang, L., & Gao, L. (2023). Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models. Statistica Sinica. https://doi.org/10.5705/ss.202020.0383
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Columbia Affiliation