Modelling Loss of Complexity in Intermittent Time Series and its Application Permalink
Jie Li, Jian Zhang, Samantha L. Winter, Mark Burnley. Modelling Loss of Complexity in Intermittent Time Series and its Application. arXiv (2024).
CV
Education
- Ph.D in Statistics, University of Kent, 2021
- M.S. in Statistics, Yunnan University, 2012
- B.S. in Statistics, Yunnan University, 2009
Work experience
- October 2023 – Now : Neuroimaging Data Analyst KTP Associate
- University of Kent and Innovision IP Ltd.
- September 2021 – September 2023: Research Officer
- The London School of Economics and Political Science
- Summer 2021: Research Assistant
- University of Kent
Skills
- Interpersonal Skills:
- Problem-solving
- Team Work
- Time and task management
- Risk management
- Project management
- Leadership
- Critical thinking
- Technical skills:
- R
- Python (Tensorflow, Pytorch)
- C++/C
- Matlab
- LaTeX
- SQL
- Git
- Linux
- Cluster computing
- Microsoft Office
Publications
Bayesian Inference General Procedures for A Single-subject Test Study Permalink
Jie Li, Gary Green, Sarah J. A. Carr, Peng Liu and Jian Zhang. Bayesian Inference General Procedures for A Single-subject Test Study. arXiv (2024).
Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’ Permalink
Jie Li, Paul Fearnhead, Piotr Fryzlewicz and Tengyao Wang (2024). Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 86, Issue 2, April 2024, Pages 332–334, https://doi.org/10.1093/jrsssb/qkae008.
Automatic Change-Point Detection in Time Series via Deep Learning Permalink
Jie Li, Paul Fearnhead, Piotr Fryzlewicz and Tengyao Wang (2024). Automatic Change-Point Detection in Time Series via Deep Learning, Journal of the Royal Statistical Society Series B: Statistical Methodology (with discussion) Volume 86, Issue 2, April 2024, Pages 273–285, https://doi.org/10.1093/jrsssb/qkae004.
Statistical Inference for High-dimensional Nonparametric Models (PhD Thesis) Permalink
Jie Li (2021). Statistical Inference for High-dimensional Nonparametric Models. Kent Academic Repository. DOI:10.22024/UniKent/01.02.89925.
Factorized Estimation of High-Dimensional Nonparametric Covariance Models Permalink
Jian Zhang and Jie Li (2021). Factorized estimation of high-dimensional nonparametric covariance models. Scandinavian Journal of Statistics. DOI:10.1111/sjos.12529.
Confidence interval construction for the difference between two correlated proportions with missing observations Permalink
Niansheng Tang, Hui-Qiong Li, Man-Lai Tang and Jie Li (2015). Confidence interval construction for the difference between two correlated proportions with missing observations. Journal of Biopharmaceutical Statistics ,26:2, 323-338. DOI:10.1080/10543406.2014.1000544.
Talks
Automatic Change-Point Detection in Time Series via Deep Learning
Contributed Talk at CMStatistics conference, Berlin, Germany
Automatic Change-Point Detection in Time Series via Deep Learning
Invited Talk at RSS Discussion meeting, Harrogate, UK
Automatic Change-Point Detection in Time Series via Deep Learning
Contributed Talk at The 1st Joint Conference on Statistics and Data Science, Beijing, China
Factorized estimation of high-dimensional nonparametric covariance models.
Contributed Talk at IMS Annal Meeting: Probability and Statistics,, London, UK