Events

Applied Mathematics Seminar

Time: Nov 11, 2016 (02:00 PM)
Location: Parker Hall 228

Details:
Speaker: Dr. Habib Najm.  Habib is a distinguished member of the technical staff at Sandia National Lab. He is also our affiliated  faulty. 
 
Title: Parameter Estimation with Missing Data

Abstract:  Uncertainty quantification on model predictions, using probabilistic methods, requires a full probabilistic specification, e.g., the joint density, for model parameters. Most commonly, only limited information, such as nominal values and error bar is available on model parameters or relevant data. In this talk, I will discuss means for handling this situation, to allow construction of a joint density on model parameters that is consistent with available information, in the absence of raw data. The method will be illustrated in the context of estimation of the joint density on Arrhenius chemical rate coefficients.