Jiaxin Qiu (้ฑไฝณ้ซ)
๐ About Me
Hi! ๐ I am a final-year PhD candidate in statistics at HKU and SUSTech (joint program), fortuantely advised by Prof. Jianfeng (Jeff) Yao (CUHK-SZ) and Prof. Zeng Li (SUSTech).
๐ง Research Interests
- Random Matrix Theory
- High-dimensional Statistics
๐ซ Education
- Ph.D. in Statistics, The University of Hong Kong (Joint Program with SUSTech), 2020 - present
- M.Sc. in Statistics, Harbin Institute of Technology (Joint Program with SUSTech), 2018 - 2020
- B.Sc. in Mathematics, Southern University of Science and Technology, 2014 - 2018
๐ Publications and Preprints
[* = corresponding author]
[The preprints on this website may be more up-to-date than their arXiv versions.]
-
Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when p/n->infinity and applications [Link, PDF, Supplement]
Jiaxin Qiu, Zeng Li*, Jianfeng Yao (2023)
The Annals of Statistics (AoS), 51(3): 1427-1451. -
On singular values of large dimensional lag-tau sample auto-correlation matrices [Link, PDF]
Zhanting Long, Zeng Li*, Ruitao Lin, Jiaxin Qiu (2023).
Journal of Multivariate Analysis (JMVA), 197. -
Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix [arXiv, PDF]
Jiaxin Qiu, Zeng Li*, Jianfeng Yao (Sep, 2023).
Under review. -
On eigenvalues of sample covariance matrices based on high-dimensional compositional data [arXiv, PDF]
Qianqian Jiang, Jiaxin Qiu, Zeng Li* (Dec, 2023).
Under review.
๐๏ธ Working Papers
- On spiked eigenvalues of general sample covariance matrices under extreme aspect ratio
Jiaxin Qiu, Zeng Li, Jianfeng Yao (2024+). Working paper.
๐ด Teaching Assistant
- @HKU
- STAT6010/7610: Advanced Probability (Fall 2023)
- STAT2601: Probability and Statistics (Spring 2021, Spring 2024)
- @SUSTech
- STA5001: High Dimensional Statistics (Spring 2022, Spring 2023)
- MA308: Statistical Computation and Software (Fall 2020)
- MAT7102/MA412: Selected Research Topics in Statistics (Spring 2020)
- MA103A: Linear Algebra A (Fall 2018, Fall 2019)
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