Manuscripts Submitted for Publication

DF

A New Class of Asymptotically Distribution-Free Smooth Tests

Xiangyu Zhang and Sara Algeri.

Under review. 2026.

Peer-Reviewed Articles

APS

Validating Angular Power Spectral Models for the Stochastic Gravitational-Wave Background Without Distributional Assumptions

Xiangyu Zhang, Erik Floden, Hongru Zhao, Sara Algeri, Galin Jones, Vuk Mandic, and Jesse Miller.

Physical Review D 113, 023051. 2026.

GOF

Testing Models for Angular Power Spectra: A Distribution-Free Approach

Sara Algeri, Xiangyu Zhang, Erik Floden, Hongru Zhao, Galin Jones, Vuk Mandic, and Jesse Miller.

Physical Review D 113, L021306. 2026.

RT

A Novel Approach to Detect Line Emission Under High Background in High-Resolution X-Ray Spectra

Xiangyu Zhang, Sara Algeri, Vinay Kashyap, and Margarita Karovska.

Monthly Notices of the Royal Astronomical Society 521(1), 969-983. 2023.

LP

Exhaustive Goodness-of-Fit via Smoothed Inference and Graphics

Sara Algeri and Xiangyu Zhang.

Journal of Computational and Graphical Statistics 31(2), 378-389. 2022.

RD

Rare Disease Awareness and Perspectives of Physicians in China: A Questionnaire-Based Study

Xuefeng Li, Xiangyu Zhang, Shu Zhang, Zijuan Lu, Jianyong Zhang, Jincheng Zhou, Bingzhe Li, and Li Ou.

Orphanet Journal of Rare Diseases. 2021.

RD

A Questionnaire-Based Study to Assess Rare Disease Patients and Care-Givers in China

Xuefeng Li, Meiling Liu, Jinduan Lin, Bingzhe Li, Xiangyu Zhang, Shu Zhang, Zijuan Lu, Jianyong Zhang, Jincheng Zhou, and Li Ou.

Orphanet Journal of Rare Diseases. 2021.

RD

The Urgent Need to Empower Rare Disease Organizations in China

Xuefeng Li, Zijuan Lu, Jianyong Zhang, Xiangyu Zhang, Shu Zhang, Jincheng Zhou, Bingzhe Li, and Li Ou.

Orphanet Journal of Rare Diseases. 2020.

Invited Talks

  • Joint Statistical Meetings 2024, Portland, Oregon. August 2024.
  • International CHASC Astro-Statistics Collaboration, Harvard University, Cambridge, Massachusetts. February 2024.