Saturday, August 3
	3:00-6:00 pm		Registration - Best Western University Inn
	6:00 - 8:30 pm		Reception - Best Western University Inn
Sunday, August 4
	8:30 -10:00 am		Tutorial 1: Maximum entropy in the mean: A useful tool for constrained inverse problems by Henryk Gzyl
	10:15-11:45 am		Tutorial 2: Blind Signal Separation by Kevin Knuth
	NOON-1:30 pm		Lunch
	1:45-3:15 pm		Tutorial 3: Data and Image Fusion by Ali Mohammad-Djafari
Monday, August 5
	8:30-9:00 am		Session 1: Welcome and Opening Remarks
	9:00-10:00 am		Session 2: Estimation and Inference
			9:00 presentation #1: Frequency Estimation, the Nonstationary Harmonically Related Case    Bretthorst
			9:30 presentation  #2: A BAYESIAN APPROACH TO ESTIMATING COUPLING BETWEEN NEURAL COMPONENTS:   EVALUATION OF THE MULTIPLE COMPONENT, EVENT-RELATED POTENTIAL (mcERP) ALGORITHM  AS Shah et al
	10:00-10:30 am		Break
	10:30-noon		Session 3: Estimation and Inference
			10:30 presentation #3: Bayesian Estimation of Fish Disease Prevlance with Imperfect Sensitivity and Specificity       Williams et al
			11:00 presentation #4: Using Bayesian Analysis and Maximum Entropy to Develop Nonparametric Probability Distributions for the Mean and Variance       Price et al
			11:30 presentation #5: Chernoff’s bound forms     Grendar et al
	NOON-1:30 pm		Lunch
	1:45-3:15 pm		Session 4: Physics Applications
			1:45 presentation #6: Maximum Entropy Approach to Mean Field Theories for Fluids    Tseng et al
			2:15 presentation #7: Hierarchies of Models: Toward Understanding Planetary Nebulae   Knuth et al
			2:45 presentation #8: Dirichlet Integral Principle for elliptic type quasilinear pdes of irreversible heat conduction process with minimum principles in case of first, second and third type boundary conditions     Kiss
	3:15-3:45 pm		Break
	3:45-5:15 pm		Session 5: Signal separation and classification
			3:45 presentation #9: Learning in presence of input noise using the stochastic EM algorithm    Seghouane et al
			4:15 presentation #10: Maximum Entropy and Genetic Algorithms for Source Separation   Rojas et al
			4:45 presentation #11: An Information Geometrical Approach on Learning Structure of Bayesian Belief Networks   Lauria
Tuesday, August 6
	8:30-10:00		Session 6: Signal separation and classification
			8:30 presentation #12: A Bayesian Classification Model for Real-Time Intrusion Detection      Puttini et al
			9:00 presentation #13: Recent Developments in Bayesian Pattern Classification     Center
			9:30 presentation #14: Statistical Problems with Weather Radar Images: Clutter Identification and Attenuation Detection         Fernández-Durán et al
	10:00- 10:30 am		Break
	10:30-11:30		Session 7: Inductive Logic Theory
			10:30 presentation #15: What is a Question?    Knuth
			11:00 presentation #16: Geometric vs. Logical Inquiry    Joseph et al
	11:30-1:00 pm		Lunch
	1:15-2:45		Session 8: Prior Distributions, Utility Functions, and Beyond
			1:15 presentation #17: Elicitation of Prior in Bayesian Inference through the Solution of an Integral Equation   Gribok et al
			1:45 presentation #18: Maximum Entropy Utility    Abbas
			2:15 presentation #19: On Ignorance      Rodriguez
	2:15-4:00 pm		Free time
	4:00 - ???		Trip and dinner
Wednesday, August 7			To be announced