Filtered Gaussian Processes for Learning with Large Data-Sets. - Jian Qing Shi; Roderick Murray-Smith; D. M. Titterington; Barak A. Pearlmutter (European Summer School on Multi-AgentControl, 2003)

Hierarchical Gaussian process mixtures for regression. - Jian Qing Shi; Roderick Murray-Smith; D. M. Titterington (Stat. Comput., 2005)

Curve prediction and clustering with mixtures of Gaussian process functional regression models. - Jian Qing Shi; B. Wang (Stat. Comput., 2008)

Approximate conditional inference in mixed-effects models with binary data. - Woojoo Lee; Jian Qing Shi; Youngjo Lee 001 (Comput. Stat. Data Anal., 2010)

Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data. - Jian Qing Shi; Y. Cheng; J. Serradilla; Graham Morgan; C. Lambden; Gary A. Ford 002; Christopher Price; Helen Rodgers; T. Cassidy; Lynn Rochester; Janet A. Eyre (Brain and Health Informatics, 2013)

Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables. - Shane Halloran; Jian Qing Shi; Yu Guan; Xi Chen; Michael Dunne-Willows; Janet A. Eyre (eScience, 2018)

Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions. - Chunzheng Cao; Mengqian Chen; Yahui Wang; Jian Qing Shi (Comput. Stat., 2018)

Remote monitoring of stroke patients' rehabilitation using wearable accelerometers. - Shane Halloran; Lin Tang; Yu Guan; Jian Qing Shi; Janet A. Eyre (UbiComp, 2019)

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. - Rana Zia Ur Rehman; Silvia Del Din; Jian Qing Shi; Brook Galna; Sue Lord; Alison J. Yarnall; Yu Guan; Lynn Rochester (Sensors, 2019)

Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions. - Chunzheng Cao; Ziyue Wang; Jian Qing Shi; Yunjie Chen (IEEE Access, 2020)

Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments. - Xi Chen; Yu Guan; Jian Qing Shi; Xiu-Li Du; Janet A. Eyre (CoRR, 2020)

Nonlinear mixed-effects scalar-on-function models and variable selection. - Yafeng Cheng; Jian Qing Shi; Janet A. Eyre (Stat. Comput., 2020)

Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. - Yang Bai; Yu Guan; Jian Qing Shi; Wan-Fai Ng (ISWC, 2021)

A general robust t-process regression model. - Zhanfeng Wang; Maengseok Noh; Youngjo Lee 001; Jian Qing Shi (Comput. Stat. Data Anal., 2021)

Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data. - Chunzheng Cao; Ming He; Jian Qing Shi; Xin Liu (Comput. Stat., 2021)

Editorial: Bayesian Inference and AI. - Niansheng Tang; Catherine Liu; Jian Qing Shi; Yangxin Huang (Frontiers Big Data, 2022)

A systematic review and meta-analysis of digital application use in clinical research in pain medicine. - Ashish Shetty; Gayathri Delanerolle; Yutian Zeng; Jian Qing Shi; Rawan Ebrahim; Joanna Pang; Dharani Hapangama; Martin Sillem; Suchith Shetty; Balakrishnan Shetty; Martin Hirsch; Vanessa Raymont; et al. (Frontiers Digit. Health, 2022)

Joint classification and prediction of random curves using heavy-tailed process functional regression. - Chunzheng Cao; Xin Liu; Shuren Cao; Jian Qing Shi (Pattern Recognit., 2023)

Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers. - Xi Chen; Yu Guan; Jian Qing Shi; Xiu-Li Du; Janet A. Eyre (CCF Trans. Pervasive Comput. Interact., 2023)

Editorial for the 2nd special issue on high-dimensional and functional data analysis. - Jeng-Min Chiou; Frédéric Ferraty; Jeff Goldsmith; Debashis Paul; Jian Qing Shi (Comput. Stat. Data Anal., 2023)

Synthetic data & the future of Women's Health: A synergistic relationship. - Gayathri Delanerolle; Peter Phiri; Heitor Cavalini; David Benfield; Ashish Shetty; Yassine Bouchareb; Jian Qing Shi; Alain B. Zemkoho (Int. J. Medical Informatics, 2023)

Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable. - Zhanfeng Wang; Xinyu Li; Jian Qing Shi (CoRR, 2024)