Jian Qing Shi

发表

Fault detection based on Gaussian process latent variable models

A. J. Morris, J Serradilla, Jian Qing Shi, 2011 .

Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions

Yahui Wang, Jian Qing Shi, Chun-Zheng Cao, 2018, Comput. Stat..

Joint Curve Registration and Classification with Two-level Functional Models

Jian Qing Shi, Lin Tang, Pengcheng Zeng, 2020 .

A general robust t-process regression model

Zhanfeng Wang, Maengseok Noh, Jian Qing Shi, 2021, Comput. Stat. Data Anal..

Automatic detection of significant areas for functional data with directional error control

Peirong Xu, Jian Qing Shi, Youngjo Lee, 2015, Statistics in medicine.

Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions

Yahui Wang, Jian Qing Shi, Jin-Guan Lin, 2018 .

Inference and computation for Gaussian process regression (GPR) model

Jian Qing Shi, Taeryon Choi, 2011 .

Comments on: Data science, big data and statistics

Jian Qing Shi, Shane Halloran, 2019 .

Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables

Jian Qing Shi, Xi Chen, Michael Dunne-Willows, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?

Jian Qing Shi, Claudia Mazzà, Rana Zia Ur Rehman, 2020, IEEE Open Journal of Engineering in Medicine and Biology.

Hierarchical Gaussian process mixtures for regression

Roderick Murray-Smith, D. M. Titterington, Jian Qing Shi, 2005, Stat. Comput..

Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions

Yunjie Chen, Jian Qing Shi, Ziyue Wang, 2020, IEEE Access.

Development on Filtering Algorithms of Airborne LiDAR Point Clouds

Jian Qing Shi, Ming Lian Jiao, Ting Chen Jiang, 2012 .

Approximate conditional inference in mixed-effects models with binary data

Jian Qing Shi, Woojoo Lee, Youngjo Lee, 2010, Comput. Stat. Data Anal..

Meta-Analysis and Latent Variable Models for Binary Data

Jian Qing Shi, 2007 .

Filtered Gaussian Processes for Learning with Large Data-Sets

Barak A. Pearlmutter, D. M. Titterington, Roderick Murray-Smith, 2003, European Summer School on Multi-AgentControl.

Learning with large data sets using filtered {G}aussian Process priors

Roderick Murray-Smith, Barak A. Pearlmutter, Jian Qing Shi, 2005 .

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson’s Disease

Jian Qing Shi, Rana Zia Ur Rehman, Silvia Del Din, 2019, Sensors.

Semi-automatic tracking, smoothing and segmentation of hyoid bone motion from videofluoroscopic swallowing study

Jian Qing Shi, Youngjo Lee, Pengcheng Zeng, 2017, PloS one.

Nonlinear Mixed-effects Scalar-on-function Models and Variable Selection for Kinematic Upper Limb Movement Data

Jian Qing Shi, Janet Eyre, Yafeng Cheng, 2016, 1605.06779.

Remote monitoring of stroke patients' rehabilitation using wearable accelerometers

Yu Guan, Jian Qing Shi, Lin Tang, 2019, UbiComp.

Multivariate measurement error models for replicated data under heavy‐tailed distributions

Wei Wang, Xinyue Zhang, Jian Qing Shi, 2015 .

Evaluating upper limb function after stroke using the free-living accelerometer data

Jian Qing Shi, Lin Tang, Janet Eyre, 2020, Statistical methods in medical research.

Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data

Jian Qing Shi, Chunzheng Cao, Xin Liu, 2021, Comput. Stat..

Gaussian Process for Functional Data Analysis: The GPFDA Package for R

Jian Qing Shi, Evandro Konzen, Yafeng Cheng, 2021, 2102.00249.

Meta‐analysis for trend estimation

Jian Qing Shi, J. Copas, J. Shi, 2004, Statistics in medicine.

Publication bias and meta‐analysis for 2×2 tables: an average Markov chain Monte Carlo EM algorithm

Jian Qing Shi, J. Copas, J. Shi, 2002 .

Generalized Gaussian process regression for non-Gaussian functional data

Jian Qing Shi, Taeryon Choi, 2011 .

Bayesian regression and classification using mixtures of Gaussian processes

D. M. Titterington, Roderick Murray-Smith, Jian Qing Shi, 2003 .

Meta‐analysis and sensitivity analysis for multi‐arm trials with selection bias

Jian Qing Shi, Rongxian Yue, J. Shi, 2011, Statistics in medicine.

Bayesian sampling‐based approach for factor analysis models with continuous and polytomous data

Jian Qing Shi, Sik-Yum Lee, J. Shi, 1998 .

Maximum Likelihood Estimation of Two‐Level Latent Variable Models with Mixed Continuous and Polytomous Data

Jian Qing Shi, Sik-Yum Lee, J. Shi, 2001 .