This page is out of date as of August 18, 2008 and will not be updated. Please visit my new page at the Statistics Department at Purdue University.

Software:

• MVNHMM Toolbox for modeling multivariate time series with hidden Markov models
• SWICA software for independent component analysis

Publications:

Ph.D. Thesis:

• Modeling of multivariate time series using hidden Markov models, 202 pages, March 2005 (PDF, ps.gz)

Journal papers:

• Analysis of Indian monsoon daily rainfall on subseasonal to multidecadal time scales using a hidden Markov model, A.M. Greene, A.W. Robertson, S. Kirshner, Quarterly Journal of Royal Meteorological Society, to appear (Wiley InterScience, preprint)
  
• Graphical models for statistical inference and data assimilation, A.T. Ihler, S. Kirshner, M. Ghil, A.W. Robertson, P. Smyth, Physica D (special issue on Data Assimilation), 230(1-2):72-87, June 2007 (ScienceDirect, preprint)
• Subseasonal-to-interdecadal variability of the Australian monsoon over North Queensland, A.W. Robertson, S. Kirshner, P. Smyth, S.P. Charles, B.C. Bates, Quarterly Journal of Royal Meteorological Society, 132(615):519-542, Part B, January 2006 (Wiley InterScience, preprint)
• Downscaling of daily rainfall occurrence over Northeast Brazil using a hidden Markov model, A.W. Robertson, S. Kirshner, P. Smyth, Journal of Climate, 17(22):4407-4424, November 2004 (Allen Press, preprint, tech report)

Conference papers:

• ICA and ISA using Schweizer-Wolff measure of dependence, S. Kirshner, B. Póczos, ICML 2008, to be presented (paper, software)
  
• Learning with tree-averaged densities and distributions, S. Kirshner, Advances in Neural Information Processing Systems, NIPS 2007, December 2007 (preliminary version, slides)
• Infinite mixtures of trees, S. Kirshner, P. Smyth, Proceedings of the Twenty-Fourth International Conference on Machine Learning, ICML 2007, June 2007 (paper, poster, slides)
• Conditional Chow-Liu tree structures for modeling discrete-valued vector time series, S. Kirshner, P. Smyth, A.W. Robertson, Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, UAI 2004, July 2004 (paper, tech report, slides)
• Unsupervised learning from permuted data, S. Kirshner, S. Parise, P. Smyth, Proceedings of the Twentieth International Conference on Machine Learning, ICML 2003, August 2003 (paper, tech report, slides)
• Learning to classify galaxy shapes using the EM algorithm, S. Kirshner, I.V. Cadez, P. Smyth, C. Kamath, Advances in Neural Information Processing Systems 15, NIPS 2002, December 2002, MIT Press, 2003. (paper, poster)
• Probabilistic model-based detection of bent-double radio galaxies, S. Kirshner, I.V. Cadez, P. Smyth, C. Kamath, E. Cantú-Paz, Proceedings of the Sixteenth International Conference on Pattern Recognition, ICPR 2002, August 2002 (paper, tech report, poster)
• Adaptivity in agent-based routing for data networks, D.H. Wolpert, S. Kirshner, C.J. Merz, K. Tumer, Fourth International Conference on Automomous Agents, Agents 2000, Barcelona, Spain, June 2000 (paper)

Talks:

• Let it rain: Modeling multivariate rain time series using hidden Markov models, AI Seminar, Department of Computing Science, University of Alberta, Edmonton, Canada, March 2006 (slides)

Personal:

• Julia
• Ellie
• Checkers (our furry bum)