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Estimating the number of significant components in high-dimensional principal component analysi
Author: Zhang, Bo; Zhang, Zhixiang; Pan, Guangming
Journal: BIOMETRIKA. 2026; Vol. 113, Issue 2, pp. -. DOI: 10.1093/biomet/asaf092
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Asymptotics for a class of parametric martingale posterior
Author: Fong, E.; Yiu, A
Journal: BIOMETRIKA. 2026; Vol. 113, Issue 2, pp. -. DOI: 10.1093/biomet/asag007
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Post-selection inference for causal effects after causal discover
Author: Chang, Ting-Hsuan; Guo, Zijian; Malinsky, Daniel
Journal: BIOMETRIKA. 2026; Vol. 113, Issue 1, pp. -. DOI: 10.1093/biomet/asaf073
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Harnessing the collective wisdom: fusion learning using decision sequences from diverse source
Author: Banerjee, Trambak; Gang, Bowen; He, Jianliang
Journal: BIOMETRIKA. 2026; Vol. 113, Issue 1, pp. -. DOI: 10.1093/biomet/asaf080
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Efficient estimation for functional accelerated failure time model
Author: Liu, Changyu; Su, Wen; Liu, Kin-Yat; Yin, Guosheng; Zhao, Xingqiu
Journal: BIOMETRIKA. 2025; Vol. 112, Issue 2, pp. -. DOI: 10.1093/biomet/asaf011
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Two-sample distribution tests in high dimensions via max-sliced Wasserstein distance and bootstrappin
Author: Hu, Xiaoyu; Lin, Zhenhua
Journal: BIOMETRIKA. 2025; Vol. 112, Issue 2, pp. -. DOI: 10.1093/biomet/asaf001
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Large-scale multiple testing of composite null hypotheses under heteroskedasticit
Author: Gang, B.; Banerjee, T.
Journal: BIOMETRIKA. 2025; Vol. 112, Issue 2, pp. -. DOI: 10.1093/biomet/asaf007
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The phase diagram of kernel interpolation in large dimension
Author: Zhang, Haobo; Lu, Weihao; Lin, Qian
Journal: BIOMETRIKA. 2025; Vol. 112, Issue 1, pp. -. DOI: 10.1093/biomet/asae057
