Posts by Collection

Confidence interval construction for the difference between two correlated proportions with missing observations Permalink

Published in Journal of Biopharmaceutical Statistics, 2015

Recommended citation: 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.
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Factorized Estimation of High-Dimensional Nonparametric Covariance Models Permalink

Published in Scandinavian Journal of Statistics, 2021

Recommended citation: Jian Zhang and Jie Li (2021). Factorized estimation of high-dimensional nonparametric covariance models. Scandinavian Journal of Statistics. DOI:10.1111/sjos.12529.
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Statistical Inference for High-dimensional Nonparametric Models (PhD Thesis) Permalink

Published in Kent Academic Repository, 2021

Recommended citation: Jie Li (2021). Statistical Inference for High-dimensional Nonparametric Models. Kent Academic Repository. DOI:10.22024/UniKent/01.02.89925.
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Automatic Change-Point Detection in Time Series via Deep Learning Permalink

Published in Journal of the Royal Statistical Society Series B (with discussion), 2024

Recommended citation: 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.
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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

Published in Journal of the Royal Statistical Society Series B, 2024

Recommended citation: 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.
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Bayesian Inference General Procedures for A Single-subject Test Study Permalink

Published in arXiv, 2024

Recommended citation: 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).

Modelling Loss of Complexity in Intermittent Time Series and its Application Permalink

Published in arXiv, 2024

Recommended citation: Jie Li, Jian Zhang, Samantha L. Winter, Mark Burnley. Modelling Loss of Complexity in Intermittent Time Series and its Application. arXiv (2024).

Factorized estimation of high-dimensional nonparametric covariance models.

Published: June 29, 2022

Automatic Change-Point Detection in Time Series via Deep Learning

Published: July 13, 2023

Automatic Change-Point Detection in Time Series via Deep Learning

Published: September 06, 2023

Automatic Change-Point Detection in Time Series via Deep Learning

Published: December 18, 2023

Teaching in China

Undergraduate course, Dali University, China, 2016

• Econometrics
• Multivariate Statistical Analysis
• Probability and Mathematical Statistics
• Statistical Computation using R
• Sampling Theory
• Mathematical Modelling
• Prediction and Decision
• Mathematical Software (MATLAB)

Teaching Assistant 2017-2018

Undergraduate course, University of Kent, School of Mathematics, Statistics and Actuarial Science,, 2017

• MA025 — Foundation Statistics
• MA306 — Statistics
• MA351 — Probability
• MA5501 — Applied Statistical Modelling
• MA636 — Stochastic Processes

Teaching Assistant 2018-2019

Undergraduate course, University of Kent, School of Mathematics, Statistics and Actuarial Science, 2018

• MA351 — Probability
• MA306 — Statistics
• MA5507 — Mathematical Statistics
• MA639 — Time Series Modelling and Simulation

Teaching Assistant 2019-2020

Undergraduate course, University of Kent, School of Mathematics, Statistics and Actuarial Science,, 2019

• MA351 — Probability
• MA501 — Statistics for Insurance
• MA5507 — Mathematical Statistics
• MA636 — Stochastic Processes
• MA639 — Time Series Modelling and Simulation

Teaching Certifications and Experience

Undergraduate courses, United Kingdom and China, 2024

So far, I have two kinds of Higher Education teaching certifications:

• One is from the UK. I have achieved the status of Associate Fellow (AFHEA, fellowship reference: PR224926) which provides recognition of professional practice for supporting teaching and learning in the UK Higher Education.