Professor of Economics and Statistics, California State University, Los Angeles, USA
Title of Keynote Address: Machine learning in Economics and Finance: A promising interplay between Statistics and Computer Science
Sunil Sapra is a Professor of Economics and Statistics at California State University, Los Angeles. He has also taught at State University of New York at Buffalo and International School of Management, Paris and has been an ASA/NSF/Census Fellow at the United States Bureau of the Census, Washington D.C. He earned his Ph.D. in Econometrics from Columbia University, New York. The main areas of his research are Econometrics and Statistics. His current research focuses on nonlinear and nonparametric regression and time series analysis, high-dimensional data analysis, robust estimation (especially high-breakdown point estimation), semi-parametric estimation of econometric models, resampling techniques, and the counting process approach to transition data analysis. He has published more than 80 articles in statistics and econometrics journals. His research on semi-parametric econometrics, missing data problems, nonlinear statistical and econometric models, robust statistical procedures, limited dependent variables and duration data analysis has been published in journals. He teaches Econometrics, Business Statistics, Forecasting, and International Economics. His research has been cited widely in statistics and econometrics textbooks and journals. He has been listed in Who’s Who among American Teachers and Educators (11th Edition, 2007). He received the Outstanding Professor Award from California State University, Los Angeles in 2003.