Statistics in IT Services
Organizer: Wanli Min, IBM T. J. Watson Research Center, USA wanlimin@us.ibm.com
Chair: Wanli Min, IBM T. J. Watson Research Center, USA wanlimin@us.ibm.com
Description: This session will bring together researchers from both academic and information technology (IT) service industry. The goal is get statisticians exposed to the enormous opportunities generated by the fast moving IT services. The series of presentations will reflect recent advances in statistical techniques inspired by increasing demand from IT service areas, such as time series forecasting, internet traffic, stochastic modeling, computer vision and medical imaging, information retrieval and data mining, etc.
Speakers:
- Adversarial Classification Bowei Xi, Ph.D., Purdue University, USA
- Robust estimation for zero-inflated longitudinal data with application to IT system monitoring Jing Shen, Ph.D., IBM T. J. Watson Research Center, USA
- Aggregating logistic regression in data cubes Nan Li, Ph.D, Washington University in St. Louis, USA
- Multivariate Nonhomogeneous Hidden Markov Model with application to Software Quality Maintenance Wanli Min, Ph.D., IBM T. J. Watson Research Center, USA
