Nonparametric Funcational Data
Analysis
·
Gaussian process functional regression, classification and clustering
for functional/longitudinal data
·
Spatially correlated allocation model
·
Applications with nonlinear system control and process monitoring and malfunction
detection
Related
Publications
Book:
·
Shi,
J. Q. and Choi, T. (2011). Gaussian
Process Regression Analysis for Functional Data. Chapman & Hall/CRC Press (also available at Amazon).
Matlab codes for some examples are
available.
Papers:
- Wang,
B and Shi, J. Q. (2011) Generalized Gaussian process regression model for
non-Gaussian functional data.
- Shi, J. Q., Wang, B., Will, E. J.
and West. R. M. (2011). Mixed-effects GPFR models with application
to dose–response curve prediction. [Full text]
·
Yi,
G., Shi, J. Q. and Choi, T. (2011) Penalized Gaussian Process Regression and
Classification for High-Dimensional Nonlinear Data. Biometrics.
DOI:
10.1111/j.1541-0420.2011.01576.x.
- Choi, T., Shi, J. Q. and Wang, B.
(2011). Bayesian single-index model using a Gaussian process prior. J.
of Nonparametric Statistics. 23,
21-36.
- Serradilla,
J., Shi, J.Q. and Morris, J. (2011). Fault detection based on Gaussian
process latent variable models. Chemometrics and Intelligent Laboratory Systems. 109, 9-21. [Full
text]
- Shi, J.Q. and Wang, B. (2008) Curve Prediction and Clustering
with Mixtures of Gaussian Process Functional Regression Models. Statistics and Computing, 18, 267-283. [Full text]
- Shi, J.Q., Wang, B., Murray-Smith, R. and Titterington, D.M.
(2007). Gaussian process functional regression modeling for batch data. [Full text] [Matlab codes for UNIX
and WINDOWS].
Biometrics, 63, 714-723.
- Shi, J.Q., Murray-Smith, R. and Titterington, D.M. (2005). Hierarchical Gaussian
process mixtures for regression. Statistics and Computing 15,
31-41.
- Kamnik, R.,
Shi, J.Q., Murray-Smith, R. and Bajd, T. (2005). Nonlinear modelling of FES-supported standing up in paraplegia
for selection of feedback sensors. IEEE Transactions on Neural Systems
& Rehabilitation Engineering, 13, 40-52 [Full
text].
- Shi, J.Q., Murray-Smith, R., Titterington, D.M. and Pearlmutter,
B.A. (2005). Learnig
with large data-sets using a filting approach. Switching
and Learning in Feedback Systems. Eds
R. Murray-Smith and R. Shorten. Springer-verlag. 128-139.
- Shi,
J.Q., Murray-Smith, R. and Titterington, D. M. (2003). Bayesian regression
and classification using mixtures of Gaussian process. International Journal of
Adaptive Control and Signal Processing. 17, 149-161.
Research
Grants
q Limbs
alive – monitoring of upper limb rehabilitation and recovery after stroke
through gaming, Wellcome trust grant on HICF (Health
Innovation Challenge Fund, total of 2.1 million pounds, Jan. 2012—Dec.2014, Dr.
Shi is the leader of Work Package 1: Data
Analysis and Validation) with PI Prof.
Janet A Eyre.
q Predictive
Dynamic Modelling for Next Generation Processing (EPSRC Mathematics Case
Project, Sept. 2006-Feb. 2010, PI: J. Q. Shi)
q Nonparametric Methods
for Curve Fitting and Prediction with Large Data-sets (EPSRC, 2005-2007,
PI: J. Q. Shi)
q
Modern Statistical
Approaches to off-equilibrium modelling for nonlinear
system control which collaborated by departments of Statistics, Computing
Science and Mechanical Engineering in Glasgow University (EPSRC, 2000-2002, PI:
Murray-Smith).
Software
·
Matlab
codes for UNIX
and WINDOWS
Some
useful links
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