Statistical
and Applied Mathematical Sciences Institute
19 T. W. Alexander Drive
P.O. Box 14006
Research Triangle Park, NC 27709-4006
Tel: 919.685.9350 FAX: 919.685.9360
[email protected]
Inverse Problem Methodology In Complex Stochastic
Models
September 2002 - January 2003
Opening Workshop, September 21-24, 2002
This will be the kickoff Workshop for the 2002-2003 SAMSI Focused Study Program on Inverse Problem Methodology in Complex Stochastic Models. The Workshop will be devoted to catalyzing new interdisciplinary research thrusts and collaborations focused on inverse and estimation problems in the context of uncertainty and stochasticity in models and data. It will offer keynote lectures and invited presentations by leading researchers involved in modeling of complex systems, statistical modeling and computation, and disciplinary science.
Keynote lectures will include a number of overview presentations illustrating common challenges in parameter estimation across several areas of science via testbed examples including modeling of polymers (material sciences), dielectric materials (electromagnetics), molecular mechanisms in HIV dynamics (biology), and tomography (physics and medicine). Mathematical modeling and statistical inferential issues and the need for an integrated framework will be described in some detail.
A special feature of the Workshop will be introductory
tutorials during the first day on differential equation modeling, statistical
inference and modeling, and computational techniques.
The Workshop is intended for applied mathematicians;
statisticians; physicists; engineers; and domain scientists from biology and
medicine, materials, and electromagnetics. Financial support for travel and
lodging is available for participants. Young investigators (graduate students,
postdocs, and faculty in the early stages of their careers) and members of underrepresented
groups are especially encouraged to participate.
Because of space limitations, registration for the workshop closed on August 23, 2002. Copies of presentations and related materials will be available on the SAMSI Web site.
Program and Schedule of Events
Saturday, September 21--North Carolina Biotechnology Center
12:45-1:30: Registration
1:30-3:30:
Tutorial on Differential Equation
Modeling and Inverse Problems
H. T. Banks
This tutorial will focus on modeling and inverse problem concepts for complex dynamical systems. Topics include ordinary and partial differential equation modeling; time, space, and state dependent coefficient estimation; nonlinear mechanisms; identifiability, ill-posedness, stability, and regularization in inverse problems. Computational methods to be discussed are finite differences, finite elements and modal approximations; reduced order modeling including Proper Orthogonal Decomposition (POD) / Principal Component Analysis (PCA) based techniques. A review of related available software will be given.
3:30-4:00: Coffee Break
4:00-6:00:
Tutorial on Statistical Modeling
and Inference
M. Davidian
This tutorial will provide an overview of considerations underlying statistical approaches to taking appropriate account of uncertainty in fitting nonlinear mathematical models to data and to making formal statistical inference. Sources of variation in different data structures will be discussed, including situations where repeated observations on a system are available for a single sample or individual and on multiple such samples or individuals. Consequences of failure to acknowledge variation appropriately will be elucidated. Incorporation of deterministic mathematical models within appropriate statistical frameworks that explicitly represent relevant sources of variation, including nonlinear fixed and random effects models, will be outlined. Associated methods for parameter estimation and inference both by frequentist and Bayesian approaches will be discussed. Available software will be reviewed and demonstrated, and its limitations for incorporation of complex dynamical systems highlighted.
6:00 - 8:00: Welcome Reception at the NISS/SAMSI Building
Sunday, September 22-- Radisson Governors Inn
Morning: HIV Dynamics
8:15 - 9:00 | Registration |
9:00 - 9:45 |
Mathematical Modeling for the HIV Response
to Treatment: Some Past Achievements and Future Direction Victor De Gruttola, Harvard School of Public Health |
9:45 - 10:30 |
Mathematical Models of HIV Infection: Past,
Present, and Future Sarah Holte, Fred Hutchinson Cancer Research Center |
10:30 - 11:00 | Coffee Break |
11:00 -11:45 |
Using
Mathematical Models to Evaluate HIV Vaccination Strategies |
12:00 - 1:30 | Box Lunch at Radisson |
Afternoon: Electromagnetics
1:30 - 2:15 |
A
Brief Introduction to Electromagnetism Brian DeFacio, University of Missouri |
2:15 - 3:00 |
Dispersive Pulse Dynamics and Precursor Fields
in Dielectric and Conductive Materials Kurt Oughstun, University of Vermont |
3:00 - 3:30 | Coffee Break |
3:30 - 4:15 |
New
Directions/Methodologies for E&M Modeling and Interrogation Richard Albanese, AFRL, Brooks AFB |
Monday, September 23, Radisson Governors Inn
Morning: Polymers
8:30 - 9:00 | Registration |
9:00 - 9:45 |
Recovering Molecular Information from the Mixing
of Wheat-Flour Dough Robert Anderssen, CSIRO |
9:45 - 10:30 |
A
Nonparametric Bayesian Approach to Inverse Problems |
10:30 - 11:00 | Coffee Break |
Mid-Morning: Tomography
11:00 - 11:45 |
Network Tomography: A Nonlinear Inverse
Problem for a Stochastic Process |
Late Morning: Physiologically Based Pharmacokinetics
11:45 - 12:30 |
Incorporating
Variability and Uncertainty into Human Health Risk Assessment Laura Potter, EPA |
12:30 - 1:30 | Box Lunch at Radisson |
Afternoon: Parameter Estimation
and Inverse Problems
Statistics Perspective
1:30 - 2:20 | Statistical
Methodology for Inverse Problems David Draper, University of California Santa Cruz |
2:30 - 3:20 |
Mixture
Modeling Peter Mueller, M. D. Anderson Medical Center |
3:30 - 4:00 | Coffee Break |
4:00 - 4:50 |
Statistical
Modeling and Inverse Problems Gary Rosner, M. D. Anderson Medical Center |
Tuesday, September 24, Radisson Governors
Inn
Morning: Parameter Estimation and Inverse Problems
Applied Mathematics Perspective
9:00 - 9:50 | An
Applied Mathematician's Prospective on Regularization Methods Curt Vogel. Montana State University |
10:00 - 10:50 | Numerical Techniques
for Least Squares Problems with Non-Quadratic Penalty Terms Karl Kunisch, Technische Universitat Graz |
10:50 - 11:20 | Coffee Break |
11:20 - 12:10 | Regularization
of Ill posed Inverse Problems by Priori Information Fadil Santosa, University of Minnesota |
12:10 - 1:30 | Box Lunch at Radisson |
Afternoon
1:30 - 3:00 | Group Discussions: Challenges and Directions |
3:15 - 4:30 | Summary Group Reports |
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