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