Dear Colleagues,
The ASA Section on Statistics in Defense and National Security (SDNS) is pleased to announce an upcoming webinar, presented by Dr. Derek Tucker on Monday, December 4th.
Attendance is open to everyone, including non-ASA and non-SDNS section members. Please feel free to share this announcement with others who may be interested.
For more information about the SDNS webinar series, please visit the ASA SDNS website or contact Elise Roberts (SDNS.AmStat@gmail.com).
Speaker: Dr. Derek Tucker, Sandia National Laboratories
Title: Elastic Bayesian Model Calibration
Date: Monday, 04 December 2023
Time: 2:00 – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific
Registration (Zoom, free): SDNS Webinar Registration
Abstract: Functional data are ubiquitous in scientific modeling. For instance, quantities of interest are modeled as functions of time, space, energy, density, etc. Uncertainty quantification methods for computer models with functional response have resulted in tools for emulation, sensitivity analysis, and calibration that are widely used. However, many of these tools underperform when the model's parameters control not only the amplitude variation of the functional output, but also its alignment (or phase variation). We present a simple framework for Bayesian model calibration when the model responses are misaligned functional data. We demonstrate the techniques to emulate and calibrate a hydrodynamics model using data from a collection of flyer plate experiments and also from a physical model that correspond to tantalum experiments around Sandia's Z-machine.
About the Speaker: J. Derek Tucker is a Distinguished Member of the Technical Staff at Sandia National Laboratories. He received his B.S. in Electrical Engineering Cum Laude and M.S. in Electrical Engineering from Colorado State University in 2007 and 2009, respectively. In 2014 he received the Ph.D. degree in Statistics from Florida State University in Tallahassee, FL under the co-advisement of Dr. Anuj Srivastava and Dr. Wei Wu. He currently is leading research projects in the area of satellite image registration and statistical functional modeling of optical emissions. His research is focused on pattern theoretic approaches to problems in image analysis, computer vision, and signal processing. In 2017, he received the Director of National Intelligence Team Award for his contributions to the Signal Location in Complex Environments (SLiCE) team.
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Elise Roberts
Statistics in Defense and National Security
https://community.amstat.org/sdns/homeSDNS.AmStat@gmail.com------------------------------