Publications by Dr Jian Shi - ePrints

Browsing publications by Dr Jian Shi.

Newcastle Authors	Title	Year
Dr Jian Shi Professor Janet Eyre	Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers	2023
Heloise Debelle Emma Packer Harry Bailey Dr Ríona McArdle Dr Phillip Brown et al.	Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease	2023
Dr Rana Rehman Dr Yu Guan Dr Jian Shi Dr Lisa Alcock Professor Alison Yarnall et al.	Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning	2022
Dr Jian Shi	A general robust t-process regression model	2021
Dr Jian Shi	Nonparametric random effects functional regression model using Gaussian process priors	2021
Dr Jian Shi	A robust estimation for the extended t-process regression model	2020
Dr Rana Rehman Professor Christopher Buckley Dr Encarna Mico Amigo Michael Dunne-Willows Dr Jian Shi et al.	Accelerometry-based digital gait characteristics for classification of Parkinson’s disease: what counts?	2020
Dr Jian Shi Professor Lynn Rochester Dr Silvia Del Din Dr Annette Pantall	Entropy of Real-World Gait in Parkinson’s Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior	2020
Dr Lin Tang Shane Halloran Dr Jian Shi Dr Yu Guan Dr Chunzheng Cao et al.	Evaluating upper limb function after stroke using the free-living accelerometer data	2020
Dr Jian Shi Professor Janet Eyre	Nonlinear mixed-effects scalar-on-function models and variable selection	2020
Dr Chunzheng Cao Dr Jian Shi	Robust Task Learning Based on Nonlinear Regression with Mixtures of Student-t Distributions	2020
Michael Dunne-Willows Professor Paul Watson Dr Jian Shi Dr Silvia Del Din	A Novel Parameterisation of Phase Plots for Monitoring of Parkinson’s Disease	2019
Dr Jian Shi Professor Janet Eyre	Automatic detection of significant areas for functional data with directional error control	2019
Dr Jian Shi Shane Halloran	Comments on: Data science, big data and statistics	2019
Dr Rana Rehman Dr Silvia Del Din Dr Jian Shi Dr Brook Galna Professor Alison Yarnall et al.	Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease	2019
Dr Rana Rehman Dr Silvia Del Din Dr Yu Guan Professor Alison Yarnall Dr Jian Shi et al.	Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach	2019
Dr Chunzheng Cao Dr Jian Shi	Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions	2018
Dr Jian Shi	How do statisticians analyse big data - Our story	2018
Dr Chunzheng Cao Dr Jian Shi	Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions	2018
Shane Halloran Dr Jian Shi Dr Yu Guan Xi Chen Michael Dunne-Willows et al.	Remote cloud-based automated stroke rehabilitation assessment using wearables	2018
Dr Chunzheng Cao Dr Jian Shi	Robust functional regression model for population-average and subject-specific inferences	2018
Dr Jian Shi	Extended t-process regression models	2017
Pengcheng Zeng Dr Jian Shi	Semi-automatic tracking, smoothing and segmentation of hyoid bone motion from videofluoroscopic swallowing study	2017
Dr Jian Shi	Simulation-based sensitivity analysis for non-ignorably missing data	2017
Dr Jian Shi	Multivariate measurement error models for replicated data under heavy-tailed distributions	2015
Hong Lu Peng Yin Dr Jian Shi	Robust confidence intervals for trend estimation in meta-analysis with publication bias	2015
Professor Janet Eyre Dr Javier Serradilla Yafeng Cheng Professor Graham Morgan Charlotte Lambden et al.	An algorithm assessing upper limb function after stroke from action video gameplay for remote monitoring of home-based rehabilitation: Validity and sensitivity to change	2014
Dr Javier Serradilla Dr Jian Shi Yafeng Cheng Professor Graham Morgan Charlotte Lambden et al.	Automatic assessment of upper limb function during play of the action video game, circus challenge: validity and sensitivity to change	2014
Martin Scott Dr William Blewitt Dr Gary Ushaw Dr Jian Shi Professor Graham Morgan et al.	Automating assessment in video game teletherapy: Data cutting	2014
Dr Jian Shi	Diagnostics on nonlinear model with scale mixtures of skew-normal and first-order autoregressive errors	2014
Dr Bo Wang Dr Jian Shi	Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data	2014
Dr Jian Shi Yafeng Cheng Dr Javier Serradilla Professor Graham Morgan Charlotte Lambden et al.	Evaluating functional ability of upper limbs after stroke using video game data	2013
Dr Jian Shi Yafeng Cheng Dr Javier Serradilla Professor Graham Morgan Charlotte Lambden et al.	Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data	2013
Dr Nan Lin Dr Jian Shi Professor Robin Henderson	Doubly misspecified models	2012
Dr Jian Shi Dr Bo Wang	Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction	2012
Dr Jian Shi Dr Bo Wang	A Gaussian process regression approach to a single-index model	2011
Dr Javier Serradilla Dr Jian Shi Emeritus Professor Julian Morris	Fault detection based on Gaussian process latent variable models	2011
Hathaikan Chootrakool Dr Jian Shi	Meta-analysis and sensitivity analysis for multi-arm trials with selection bias	2011
Dr Gang Yi Dr Jian Shi	Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data	2011
Dr Jian Shi	Approximate conditional inference in mixed-effects models with binary data	2010
Dr Jian Shi Dr Bo Wang	Curve prediction and clustering with mixtures of Gaussian process functional regression models	2008
Hathaikan Chootrakool Dr Jian Shi	Meta-analysis of multi-arm trials using empirical logistic transform.	2008
Dr Jian Shi Dr Bo Wang	Gaussian process functional regression modeling for batch data	2007
Dr Jian Shi	Filtered Gaussian processes for learning with large data-sets	2005
Dr Jian Shi	Filtered Gaussian processes for learning with large data-sets	2005
Dr Jian Shi	Hierarchical Gaussian process mixtures for regression	2005
Dr Jian Shi	Nonlinear modeling of FES-supported standing-up in paraplegia for selection of feedback sensors	2005
Dr Jian Shi	Nonlinear Modelling of FES-Supported Standing-Up in Paraplegia for Selection of Feedback Sensors	2005
Dr Jian Shi	Meta-analysis for trend estimation	2004
Dr Jian Shi	Bayesian regression and classification using mixtures of Gaussian processes	2003
Dr Jian Shi	On confidence regions of structural equation Models	2002
Dr Jian Shi	Publication bias and meta-analysis for 2x2 tables: an average Markov chain Monte Carlo EM algorithm	2002
Professor Sun-Young Lee Dr Jian Shi	Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data	2001
Dr Jian Shi	Joint Bayesian analysis of factor scores and structural parameters in the factor analysis models	2000
Dr Jian Shi	Latent variable models with mixed continuous and polytomous data	2000
Dr Jian Shi	Meta-analysis, funnel plots and sensitivity analysis	2000