Near Real-Time Quantification of Stochastic Model Parameters

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-14-C-0151
Agency Tracking Number: A2-5755
Amount: $1,000,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A13A-T009
Solicitation Number: 2013.0
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-09-29
Award End Date (Contract End Date): 2015-09-30
Small Business Information
1622 Route 12, Box 637, Gales Ferry, CT, 06335
DUNS: 000000000
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Browning
 President
 (860) 464-7259
 wjbrowning@applmath.com
Business Contact
 William Browning
Title: President
Phone: (860) 464-7259
Email: wjbrowning@applmath.com
Research Institution
 University of Southern California
 Teri Hansen
 3720 S. Flower Street, 325
Los Angles, CA, 90089
 (213) 740-8207
 Nonprofit college or university
Abstract
Mathematical models of physical and biological systems contain parameters that need to be estimated from measured data. Models with parameters distributed probabilistically require the estimates of a probability measure over the set of admissible parameters. We propose to use frequentist-based approaches for non-parametrically estimating probability measures that describe the distribution of parameters across all members of a given population in the case where only aggregate longitudinal data are available. We will develop mathematical models for specific biological and physical systems of current interest to U.S. Army Natick Soldier Research, Development and Engineering Center (NSRDEC), estimate model parameters, and quantify and propagate uncertainty in these systems. Software implementing the algorithms will be developed for use in real-time estimation.

* Information listed above is at the time of submission. *

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