- Staff groups:
- Administrative
- Technical
- Research Associates
- Post Docs
Profile
Xia Jiang, PhD
Postdoctoral Scholar
Contact Info:
Parkvale Building
M-175
200 Meyran Avenue
Phone: (412) 648-6706
E-mail: XIJ6@PITT.EDU
Research
Bayesian Network, machine learning, biosurveillance, bioinformatics.
Education
PhD Biomedical Informatics, University of Pittsburgh
Publications
Jiang, XI., D.B. Neill, G.F. Cooper, “On the Robustness of Bayesian Network Base Spatial Event Surveillance”, International Journal of Approximate Reasoning, March 2008, Online publication information: http://dx.doi.org/10.1016/j.ijar.2009.01.001
Jiang, X., and G.F. Cooper, “A Temporal Method for Outbreak Detection Using a Bayesian Network”, Accepted for publication in Advances in Disease Surveillance.
Jiang, XI., G.L. Wallstrom, G.F. Cooper, and M.M. Wagner, “Bayesian Prediction of an Epidemic Curve”, Journal of Biomedical Informatics 42 (2009) pp. 90-99. doi: http://dx.doi.org/10.1016/j.jbi.2008.05.013
Neill, D. B. XI.,G.F. Cooper, K. Das, X. Jiang, and J. Schneider, “Bayesian Networks Scan Statistics for Multivariate Pattern Detection”, Scan Statistics - Methods and Applications, Birkhauser, 2008
Jiang, X., M.M. Wagner, and G.F. Cooper, “Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian Networks”, Innovations in Bayesian Networks of Studies in Computational Intelligence, Springer-Verlag, NY, 2008. On-line version: http://dx.doi.org/10.1007/978-3-540-85066-3_7
Neapolitan R.E., and X. Jiang, Probabilistic Methods for Financial and Marketing Informatics, Morgan Kaufmann, San Mateo, CA, 2007.
Jiang, X., “A Bayesian Network for Estimating and Predicting Epicurves,” J. Advances in Disease Surveillance; 2:15, 2007.
Jiang, X., and G.F. Cooper, “A Recursive Algorithm for Spatial Cluster Detection,” Proceedings of AMIA 2007 Annual Symposium, Chicago, IL, November, 2007, Oct 11:369-73.
Jiang, X., G.F. Cooper, and J. Levander, “A Bayesian Network Model for Spatial Cluster Detection,” Proceedings of UAI Workshop on Bayesian Modeling, Vancouver, BC, 2007.
Neapolitan, R.E., and Jiang, X., “A Tutorial on Learning Causal Influences,” in Holmes, D. and L. Jain (Eds.): Innovations in Machine Learning, Springer-Verlag, NY, 2006.
Jiang, X., and G.L. Wallstrom, “A Bayesian Network for Outbreak Detection and Prediction,” Proceedings of AAAI-06, Boston, MA, 2006, p1155-1160.