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Browsing publications by Dr Jian Shi.

Newcastle AuthorsTitleYearFull text
Dr Rana Rehman
Dr Yu Guan
Dr Jian Shi
Dr Lisa Alcock
Dr Alison Yarnall
et al.
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning2022
Dr Jian Shi
A general robust t-process regression model2021
Dr Jian Shi
Nonparametric random effects functional regression model using Gaussian process priors2021
Dr Jian Shi
A robust estimation for the extended t-process regression model2020
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 Behavior2020
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 data2020
Dr Jian Shi
Professor Janet Eyre
Nonlinear mixed-effects scalar-on-function models and variable selection2020
Dr Chunzheng Cao
Dr Jian Shi
Robust Task Learning Based on Nonlinear Regression with Mixtures of Student-t Distributions2020
Michael Dunne-Willows
Professor Paul Watson
Dr Jian Shi
Dr Silvia Del Din
A Novel Parameterisation of Phase Plots for Monitoring of Parkinson’s Disease2019
Dr Jian Shi
Professor Janet Eyre
Automatic detection of significant areas for functional data with directional error control2019
Dr Jian Shi
Shane Halloran
Comments on: Data science, big data and statistics2019
Dr Rana Rehman
Dr Silvia Del Din
Dr Jian Shi
Dr Brook Galna
Dr Alison Yarnall
et al.
Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease2019
Dr Rana Rehman
Dr Silvia Del Din
Dr Yu Guan
Dr Alison Yarnall
Dr Jian Shi
et al.
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach2019
Dr Chunzheng Cao
Dr Jian Shi
Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions2018
Dr Jian Shi
How do statisticians analyse big data - Our story2018
Dr Chunzheng Cao
Dr Jian Shi
Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions2018
Shane Halloran
Dr Jian Shi
Dr Yu Guan
Xi Chen
Michael Dunne-Willows
et al.
Remote cloud-based automated stroke rehabilitation assessment using wearables2018
Dr Chunzheng Cao
Dr Jian Shi
Robust functional regression model for population-average and subject-specific inferences2018
Dr Jian Shi
Extended t-process regression models2017
Pengcheng Zeng
Dr Jian Shi
Semi-automatic tracking, smoothing and segmentation of hyoid bone motion from videofluoroscopic swallowing study2017
Dr Jian Shi
Simulation-based sensitivity analysis for non-ignorably missing data2017
Dr Jian Shi
Multivariate measurement error models for replicated data under heavy-tailed distributions2015
Hong Lu
Peng Yin
Dr Jian Shi
Robust confidence intervals for trend estimation in meta-analysis with publication bias2015
Professor Janet Eyre
Dr Javier Serradilla
Yafeng Cheng
Dr 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 change2014
Dr Javier Serradilla
Dr Jian Shi
Yafeng Cheng
Dr 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 change2014
Martin Scott
Dr William Blewitt
Dr Gary Ushaw
Dr Jian Shi
Dr Graham Morgan
et al.
Automating assessment in video game teletherapy: Data cutting2014
Dr Jian Shi
Diagnostics on nonlinear model with scale mixtures of skew-normal and first-order autoregressive errors2014
Dr Bo Wang
Dr Jian Shi
Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data2014
Dr Jian Shi
Yafeng Cheng
Dr Javier Serradilla
Dr Graham Morgan
Charlotte Lambden
et al.
Evaluating functional ability of upper limbs after stroke using video game data2013
Dr Jian Shi
Yafeng Cheng
Dr Javier Serradilla
Dr Graham Morgan
Charlotte Lambden
et al.
Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data2013
Dr Jian Shi
Professor Robin Henderson
Doubly misspecified models2012
Dr Jian Shi
Dr Bo Wang
Mixed-effects Gaussian process functional regression models with application to dose-response curve prediction2012
Dr Jian Shi
Dr Bo Wang
A Gaussian process regression approach to a single-index model2011
Dr Javier Serradilla
Dr Jian Shi
Emeritus Professor Julian Morris
Fault detection based on Gaussian process latent variable models2011
Hathaikan Chootrakool
Dr Jian Shi
Meta-analysis and sensitivity analysis for multi-arm trials with selection bias2011
Dr Gang Yi
Dr Jian Shi
Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data2011
Dr Jian Shi
Approximate conditional inference in mixed-effects models with binary data2010
Dr Jian Shi
Dr Bo Wang
Curve prediction and clustering with mixtures of Gaussian process functional regression models2008
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 data2007
Dr Jian Shi
Filtered Gaussian processes for learning with large data-sets2005
Dr Jian Shi
Filtered Gaussian processes for learning with large data-sets2005
Dr Jian Shi
Hierarchical Gaussian process mixtures for regression2005
Dr Jian Shi
Nonlinear modeling of FES-supported standing-up in paraplegia for selection of feedback sensors2005
Dr Jian Shi
Nonlinear Modelling of FES-Supported Standing-Up in Paraplegia for Selection of Feedback Sensors2005
Dr Jian Shi
Meta-analysis for trend estimation2004
Dr Jian Shi
Bayesian regression and classification using mixtures of Gaussian processes2003
Dr Jian Shi
On confidence regions of structural equation Models2002
Dr Jian Shi
Publication bias and meta-analysis for 2x2 tables: an average Markov chain Monte Carlo EM algorithm2002
Professor Sun-Young Lee
Dr Jian Shi
Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data2001
Dr Jian Shi
Joint Bayesian analysis of factor scores and structural parameters in the factor analysis models2000
Dr Jian Shi
Latent variable models with mixed continuous and polytomous data2000
Dr Jian Shi
Meta-analysis, funnel plots and sensitivity analysis2000