The Marginal Density of a TMA(1) Process
Li, Dong, and Jiaming Qiu. 2020. The Marginal Density of a TMA(1) Process. Journal of Time Series Analysis 41 (3): 476–84.
CV
Education
- Ph.D in Statistics, Iowa State University, 2022
- M.S. in Statistics, University of Michigan, Ann Arbor, 2017
- B.S. in Pure and Applied Mathematics, Tsinghua University, 2015
Work Experience
- Since Fall 2022: Postdoctoral Researcher
- Fred Hutchinson Cancer Center
- Developing Neyman–Pearson classifiers under data-shift and/or sequential decision scheme.
- Advisors: Drs. Yingye Zheng and Yingqi Zhao
Publications and Manuscripts
Optimizing Sequential Decision Rules for Prostate Cancer Biopsy Management: A Multi-Objective Statistical Framework
Qiu, Jiaming, Ying-Qi Zhao, John Wei, Arul Chinnaiyan, Jeffrey Tosoian, and Yingye Zheng. 2026+. Optimizing Sequential Decision Rules for Prostate Cancer Biopsy Management: A Multi-Objective Statistical Framework. Journal of the American Statistical Association. (accepted)
Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
Qiu, Jiaming, and Xiongtao Dai. 2023. Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance. Advances in Neural Information Processing Systems 36 (December):73983–94.
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
Qiu, Jiaming, Xiongtao Dai, and Zhengyuan Zhu. 2022. Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes. Journal of the American Statistical Association 119 (545): 176–88.
Possible Indicators of Amputation and Insufficient Perfusion after Heat Press Injury: A Retrospective Study
Jiang, Huihao, Jiaming Qiu, Xiaozhuo Zhao, and Guoan Zhang. 2022. Possible Indicators of Amputation and Insufficient Perfusion after Heat Press Injury: A Retrospective Study. Burns 48 (8): 1990–99.
Spatial Prediction of Local Soil Erosion Distribution in the Wasserstein Space
Qiu, Jiaming, Xiongtao Dai, Zhengyuan Zhu, and Shuiqin Yin. 2026+ Spatial Prediction of Local Soil Erosion Distribution in the Wasserstein Space. Annals of Applied Statistics. (accepted)
Different Depths May Not Determine the Fluid Resuscitation Volume in Early-Stage Management of Severe Burns: A Model-Comparison Retrospective Analysis of Fluid Volume Determining Factors
Ning, Fanggang, Huihao Jiang, Jiaming Qiu, and Lifang Wang. 2022. Different Depths May Not Determine the Fluid Resuscitation Volume in Early-Stage Management of Severe Burns: A Model-Comparison Retrospective Analysis of Fluid Volume Determining Factors. Journal of Burn Care & Research 43 (2): 412–18.
Talks and Presentations
Optimizing Detection Time and Specificity: Early Classification of Time Series with Sensitivity Constraint
Poster at NeurIPS workshop on Bayesian Decision-making and Uncertainty, Vancouver, British Columbia
Balancing Act: Enhancing Early Detection and Precision in Multi-Step Diagnostic Pathways Under Neyman–Pearson Paradigm
Fast Pitch Competition at Fred Hutch TDS IRC Annual Retreat, Seattle, WA
Estimation of Riemannian Metric with Noise Contaminated Intrinsic Distance Measurements
Talk at Department of Mathematics, Wayne State University, online
Tailor Neyman–Pearson Classifier for Subgroups of Heterogeneous Population
Poster at Fred Hutch TDS IRC Annual Retreat, Seattle, WA
Nonparametric Estimates for Repeated Densities with Heterogeneous Sample Sizes
Contributed papers at Joint Statistical Meetings, online
Service
- Reviewer for NeurIPS, Biometrics, Technometrics, Statistics and Computing