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Stat|December 1, 2023
Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data Sparsity ConstraintHaodong Wang, Quefeng Li, Yufeng Liu
Stat|July 3, 2024
Density regression and uncertainty quantification with Bayesian deep noise neural networksDaiwei Zhang, Tianci Liu, Jian Kang
Stat|November 23, 2020
Joint estimation of multiple mixed graphical models for pan-cancer network analysisBochao Jia, Faming Liang
Stat|November 12, 2020
Logistic regression error-in-covariate models for longitudinal high-dimensional covariatesHyung Park, Seonjoo Lee
Stat|July 11, 2025
Communication-Efficient Distributed Estimation of Causal Effects With High-Dimensional DataXiaohan Wang, Jiayi Tong, Sida Peng, et al.
Stat|June 6, 2022
Empirical Bayesian Analysis Through the Lens of a Particular Class of Constrained Bayesian Hierarchical ModelsJonathan R Bradley, Qingying Zong
Stat|January 13, 2018
Ricean over Gaussian modelling in magnitude fMRI Analysis-Added Complexity with Negligible Practical BenefitsDaniel W Adrian, Ranjan Maitra, Daniel B Rowe
Stat|April 22, 2022
Sequential Pathway Inference for Multimodal Neuroimaging AnalysisLexin Li, Chengchun Shi, Tengfei Guo, et al.
Stat|July 14, 2020
Tensor canonical correlation analysisEun Jeong Min, Eric C Chi, Hua Zhou
Stat|September 16, 2014
Joint density of eigenvalues in spiked multivariate modelsPrathapasinghe Dharmawansa, Iain M Johnstone
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