Abstract：
Computer experiments have become ubiquitous in various applications from rocket injector designs to weather forecasts. Although extensive research has been devoted in the literature, computer experiments with binary time-series outputs have received scant attention. Motivated by the analysis of a class of cell adhesion experiments, we introduce a new emulator, as well as a new calibration framework for binary time-series outputs. More importantly, we provide their theoretical properties to ensure the estimation performance in an asymptotic setting. The application to the cell adhesion experiments illustrates that the proposed emulator and calibration framework not only provide an efficient alternative for the computer simulation, but also reveal important insight on the underlying adhesion mechanism, which cannot be directly observed through existing methods.

About the speaker：
Ying Hung is a professor at the Department of Statistics and Biostatistics, Rutgers, the State University of New Jersey. She obtained the Ph.D. degree from the School of Industrial and Systems Engineering, Georgia Institute of Technology in 2008 and the master degree from National Tsing Hua University of Taiwan in 2003. Her current research interests include Experimental Design, Computer Experiments with Applications and Statistical Analysis for Single Molecule Experiments.