Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Colloquia Archive 
 Postdoc Seminars Archive 
 Quantum Lunch 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 Kac Lectures 
 Dist. Quant. Lecture 
 Ulam Scholar 
 Summer Research 
 Student Application 
 Past Visitors 
 PD Travel Request 
 History of CNLS 
 Maps, Directions 
 CNLS Office 
Monday, September 21, 2015
3:00 PM - 4:00 PM
CNLS Conference Room (TA-3, Bldg 1690)


Thinking out of the Box: All models are wrong,.. can we make them more useful?

Lior Horesh

Mathematical models are employed ubiquitously for description, prediction and decision making. In addressing end-goal objectives, great care needs to be devoted to attainment of appropriate balance of inexactness throughout the various stages of the end goal process (e.g. modeling and inversion). Disregard to such considerations, either entails redundant computation or impairment of the overall fidelity of the inversion process. Model reduction is instrumental in trading-off fidelity for computation, yet, in some situations, it is essential to take an opposite perspective, and enhance model fidelity and thereby end-goal output. In this talk, we shall describe the interplay between model reduction and model mis-specification mitigation and provide a generic infrastructure for model re-specification based upon a hybrid first principles and data-driven approach.

Host: Misha Chertkov