9:00
H. Gupta, HAS
Information quantification instead of uncertainty quantification
9:30
W. Bonaffe, Tree Ring Lab
Bayesian data analysis with Rcpp
9:45
A. Leach, Applied Math
Importance sampling for SDE with small noise
10:00
Coffee Break
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10:30
E. Davis, Math
Shortest paths in random geometric graphs
10:45
C. Clark, Applied Math
Effective conductivity in highly heterogeneous composite media
11:00
L. Winter, HAS
A Continuous Time Markov Chain Model of Particle Transport through Saturated Pore Spaces
11:15
T. Harty, Applied Math
Irradiance forecasting with the LETKF
11:30
J. Adams, Applied Math
Studying the geomagnetic polarity time scale and superchrons by scalar models and feature based data assimilation
11:45
S. Lunderman, Math
More data is not always good -- assimilate compressed data features
12:00
Brooklyn Pizza Company
Lunch
1:15
K. Carlberg, Sandia
Enabling UQ with expensive models: nonlinear model reduction and error surrogates
2:00
L. McGuire, Geoscience
Dealing with uncertainty in coupled hydrologic and geomorphic systems
2:30
A. Arellano, HAS
Uncertainty quantification in high-dimensional numerical prediction of atmospheric composition: example problems for applied mathematics
3:00
Closing
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