R. Clifton Bailey Statistics Seminar Series
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
Youngdeok Hwang
Assistant Professor
Department of Information Systems and Statistics
Baruch College, CUNY
Friday, April 26, 2024
11:00 A.M. – 12:00 P.M. Eastern Time
Nguyen Engineering Building, Room 1109
4511 Patriot Circle, Fairfax, VA
The seminar talk is also live-streamed. Please register here to receive the link.
Abstract
Understanding the oscillating behaviors that govern organisms' internal biological processes requires interdisciplinary efforts combining both biological and computer experiments, as the latter can complement the former by simulating perturbed conditions with higher resolution. Harmonizing the two types of experiment, however, poses significant statistical challenges due to identifiability issues, numerical instability, and ill behavior in high dimension. This article devises a new Bayesian calibration framework for oscillating biochemical models. The proposed Bayesian model is estimated relying on an advanced Markov chain Monte Carlo (MCMC) technique which can efficiently infer the parameter values that match the simulated and observed oscillatory processes. Also proposed is an approach to sensitivity analysis based on the intervention posterior. This approach measures the influence of individual parameters on the target process by using the obtained MCMC samples as a computational tool. The proposed framework is illustrated with circadian oscillations observed in a filamentous fungus, Neurospora crassa
About the Speaker
Youngdeok Hwang is an Assistant Professor at the Paul H. Chook Department of Information Systems and Statistics, Baruch College, CUNY. Prior to his current position, he worked as an Assistant Professor at Sungkyunkwan University in Korea and as a Research Staff Member at IBM's TJ Watson Research Center. He holds a Ph.D. in Statistics from the University of Wisconsin-Madison and has research interests in inverse problems, design of experiments, and spatio-temporal statistics. In 2018, he received the Statistics in Physical Engineering Sciences Award from the SPES section of ASA, and he is currently serving as an AE for Technometrics.
Event Organizers
Nicholas Rios
David Kepplinger