My vitae.
My son, Ethan.
My wife's work.
My patent.
My courses: Stat220, Stat311, Stat427, Stat/Math394,
Stat/Math390.
My Neural Network short course presented at
American Meteorological Society Conference 2004.
Journal Articles:
- 37. Kim, A. Y., C. Marzban, D. Percival, W. Stuetzle 2008:
Using labeled Data to evaluate change detectors
in a multivariate streaming environment. Submitted to Signal Processing.
- 36. Marzban, C. and S. Sandgathe, D. Morison, N. Lederer 2008:
On the Relation Between Model Parameters and
Forecast Parameters. Submitted to Monthly Weather Review.
- 35. Marzban, C., D. Lennon, and S. Sandgathe 2008:
Optical Flow for verification.
Weather and Forecasting. In revision.
- 34. Marzban, C. and S. Sandgathe 2008: Verification with
variograms. Monthly Weather Review. In revision.
- 33. Marzban, C., S. Sandgathe, and H. Lyons 2008: An
Object-oriented Verification of Three NWP Model
Formulations via Cluster Analysis: An objective and a subjective analysis.
To appear in the September issue of Monthly Weather Review.
- 32. Marzban, C., S. Sandgathe, 2008:
Cluster Analysis for Object-Oriented Verification of Fields: A Variation. Monthly Weather Review, Vol. 136, 1013-1025.
- 31. Marzban, C., S. Leyton, and B. Colman 2007:
Ceiling & Visibility forecasts via Neural Nets.
Wea. Forecasting, Vol. 22, No. 3, 466-479.
- 30. Marzban, C., S. Sandgathe 2006: Cluster analysis for
verification of precipitation fields. Wea. Forecasting, Vol. 21,
No. 5, 824-838.
- 29. Marzban, C., S. Sandgathe, E. Kalnay, 2005:
MOS, Perfect Prog, and Reanalysis Data. Monthly Weather Review, Vol.
134, No. 2, 657-663.
- 28. Trites, A. W. et al, 2004: Bottom-up forcing and the decline of
Steller sea lions in Alaska: Assessing the ocean
climate hypothesis. Fisheries Oceanography, doi:10.1111/j.1365-2419.2006.00408.
- 27. Hennon, C., C. Marzban, J. S. Hobgood, 2004: Improving tropical cyclogenesis statistical model forecasts
through the application of a neural network classifier. Wea. Forecasting.,
Vol. 20, No. 6, 1073-1083.
- 26. Marzban, C. 2004: The ROC Curve and the Area
Under it as a Performance Measure. Weather and Forecasting, Vol. 19,
No. 6, 1106-1114.
- 25. Marzban, C., 2003: A Neural Network for
Post-processing Model Output: ARPS . Monthly Weather Review, Vol. 131,
No. 6., pp. 1103-1111.
- 24. Drton, M., Marzban, C., P. Guttorp, & J. T. Scahefer, 2003:
A Markov Chain Model of Tornadic Activity. Monthly Weather Review,
Vol 131, No. 12, 2941-2953. An earlier version of the paper is by Marzban &
Guttorp .
- 23. Marzban, C., and A. Witt, 2001: A Bayesian
Neural Network for Hail Size Prediction. Wea. Forecasting, Vol. 16,
No. 5, pp. 600-610. A neural network for the detection of hail can be
found here .
- 22. Marzban, C., and J. Schaefer, 2001: The
Correlation Between U.S. Tornados and Pacific Sea Surface Temperature.
Monthly Weather Review, Vol. 129, No. 4, 884-895.
- 21. Marzban, C. 2000: A neural network for tornado
diagnosis. Neural Computing and Applications, Vol. 9 (2), 133-141.
- 20. Marzban, C., E. D. Mitchell, G. Stumpf, 1999: The
notion of ``best predictors:" An application to tornado prediction.
Weather and Forecasting, Vol. 14, No. 6, 1007-1016.
- 19. Marzban, C., V. Lakshmanan, 1999: On the uniqueness
of Gandin and Murphy's equitable performance measures. Monthly Weather
Review, Vol. 127, No.6, 1134-1136.
- 18. Marzban, C., G. J. Stumpf, 1998: A Neural Network for Tornado and/or
Damaging Wind Prediction Based on Doppler Radar-derived Attributes.
Microcomputer Applications, Vol. 17, 21-28.
- 17. Marzban, C., G. J. Stumpf, 1998: A neural network
for damaging wind prediction, Weather and Forecasting, Vol. 13, No.1,
151-163.
- 16. Marzban, C. 1998: Scalar measures of performance in
rare-event situations, Weather and Forecasting, Vol. 13, 753-763.
- 15. Marzban, C. 1998: Bayesian probability and scalar
performance measures in gaussian models, Journal of Applied Meteorology,
Vol. 37, 72-82.
- 14. Marzban, C., H. Paik, and G. Stumpf, 1997: Neural
networks vs. gaussian discriminant analysis, AI Applications, Vol. 10,
No.1, 49-58.
- 13. Marzban, C., G. J. Stumpf, 1996: A neural network
for tornado prediction ..., Journal of Applied Meteorology, Vol. 35, 617.
- 12. Kantowski, R., C. Marzban, 1995: A Neural Network for Locating the
Primary Vertex in a Pixel Detector. Nuclear Instruments and Methods in
Physics Research, A 355, 582.
- 11. Paik, H., C. Marzban, 1995: Predicting Television Extreme-viewer vs.
Non-viewer: A Neural Network Analysis. Human Communication Research, Vol. 22,
284.
- 10. Marzban, C., R. Viswanathan, 1994: Stochastic Neural
Networks with the Weighted Hebb Rule, Physics Letters A Vol. 191, 127.
- 9. Kantowski, R., C. Marzban, 1992: One-loop Vilkovisky-DeWitt
Counterterms for Two-dimensional Gravity Plus Scalar Field Theory. Phys.
Rev. D46.
- 8. Marzban, C., R. Viswanathan, 1992: Matrix Models With
\gamma_{string}>0. Phys. Lett. B277, 289.
- 7. Marzban, C., R. Viswanathan, 1991: Matrix Models With Non-even Potentials.
Int. Journ. of Mod. Phys. A6, 2559.
- 6. Marzban, C., 1990: Morse Theory Applied to N=1 and 2 Superconformal
Theories. Phys. Lett. B238, 257.
- 5. Marzban, C., 1990: Remarks on the Landau-Ginzburg Potential and
RG-flow for SU(2)-coset Models. Phys. lett. B236, 298.
- 4. Marzban, C., B. F. Whiting, H. Van Dam, 1989: Hamiltonian Reduction for
Massive Fields Coupled to Sources. Jour. Math. Phys. 30, 1877.
- 3. Kikuchi, Y., C. Marzban, 1987: Two-loop Modular Invariance and Proper
Spin-Statistics Projection for General Boundary Conditions. Phys. Rev. D36,
2583.
- 2. Kikuchi, Y., C. Marzban, 1987: Low-energy Effective Lagrangian of
Heterotic String Theory. Phys. Rev. D35, 1400.
- 1. Kikuchi, Y., C. Marzban, Y. J. Ng, 1986: Heterotic String Modifications
of Einstein's and Yang-Mills' Actions. Phys. Lett. B176, 57.
Technical Reports and Unpublished Works:
- 3. Marzban, C., N. Mantua, S. Hare, 2004: Retrospective study of climate impact on Alaska Stellar Sea Lion
- 2. Marzban, C., D. Lettenmaier, and L. Bowling, 2004:
Trends in Extreme Precipitation and Streamflow
- 1. Marzban, C. 1997: Local minima in Bootstrapping
. Submitted to, and rejected from NIPS.
Selected Conference Papers:
- Marzban, C. 2008: Quantile Regression. Invited
paper presented at the joint session between AI and Prob & Stats Conference. 88th
American Meteorological Society Annual Meeting, New Orleans, Jan. 20-24.
- Marzban, C., S. Sandgathe, and H. Lyons 2007: Assessment of an automatic, object-oriented approach to the verification of spatial fields . Paper presented at
7th Euopean Meteorological Society Annual MeetingEl Escorial, Spain, October.
- Marzban, C. 2004: Probabilistic Forecasts in Meteorology. Talk presented at a Neural Information Processing Systems, 2004,
workshop on Calibration and Probabilistic Prediction in Supervised Learning.
Whistler, Canada.
- Marzban, C. 1998: Bayesian inference in neural
networks. 78th meeting of the American Meteorological Society,
Probability and Statistics Session, Phoenix Arizona, January.
- Marzban, C., G. J. Stumpf, 1996: A Neural Network for Tornado and/or
Severe Weather Prediction Based on Doppler Radar-derived Attributes.
10th Annual Mid-American Symposium on Emerging Computer Technologies,
University of Oklahoma, October 28-29. (Top-paper Award.)
- Marzban, C., R. Viswanathan, 1993: Stochastic Neural Networks and the
Weighted Hebb Rule. Proceedings of the IJCNN conference, Nagoya, Japan.
Invited Books:
Neural Networks for Social Scientists, World Scientific Publishing
(25% complete)
Neural Networks for Physicists, World Scientific Publishing (0% complete)
Artificial Intelligence Methods in the Environmental Sciences, 2007;
Springer-Verlag. Co-editor and contributor to 2 chapters.
How to Contact me:
Dept. of Statistics
University of Washington
Box 354322
Seattle, WA 98195-4322
Tel: 206.685-7428
Fax: 206.685.7419
marzban at stat.washington.edu
Applied Physics Laboratory
University of Washington
Box 354322
Seattle, WA 98195-4322
Tel: 206.221.4361
Fax: 206.543.1301
marzban at apl.washington.edu
Center for Analysis and Prediction of Storms
University of Oklahoma
Sarkey's Energy Center, Suite 1110
Norman, OK 73019
marzban at caps.ou.edu
Caren Marzban, Ph.D.