Joint Session 3
	Bridging the Gap between Artificial Intelligence and Statistics in Applications to Environmental Science-I (Joint between the 19th Conference on Probability and Statistics and the Sixth Conference on Artificial Intelligence Applications to Environmental Science)
	Chairs: Michael B. Richman, Univ. of Oklahoma, Norman, OK; William M. Briggs, Weill Cornell Medical School, New York, NY
	8:30 AM	J3.1	Quantile Regression   Caren Marzban, University of Washington/APL, Seattle, WA
	9:00 AM	J3.2	Improving Bayesian neural network predictions of N. American seasonal climate by correcting for extrapolations   Aiming Wu, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, A. J. Cannon, and A. Shabbar
	9:15 AM	J3.3	Neural Network Compound Parameterization with a Quality Control of Larger Errors for Robust and Fast Calculation of Physical Processes in Numerical Environmental Models   Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. S. Fox-Rabinovitz, H. L. Tolman, and A. A. Belochitski
	9:30 AM	J3.4	An Artificial Neural Network to Forecast Thunderstorm Location: Performance Enhancement Attempts   Waylon G. Collins, NOAA/NWS, Corpus Christi, TX; and P. Tissot
	9:45 AM	J3.5	Statistical modeling of tornadic and non-tornadic severe weather outbreaks   Andrew E. Mercer, CIMMS/Univ. of Oklahoma, Norman, OK; and C. M. Shafer, L. M. Leslie, M. B. Richman, and C. A. Doswell

Wednesday, 23 January 2008: 8:30 AM-10:00 AM, 219

* - Indicates paper has been withdrawn from meeting

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