Statistics - overview
Statistics Professional Interest Community
Statistical analysis plays a role in many activities of IBM's research and development labs. It is used as a foundation of business decision making in a number of key areas, such as quality assurance, manufacturing, pricing, marketing, business intelligence and delivery of services. IBM Research has traditionally been a leader in several areas of statistics, in particular in reliability and process control, forecasting, linear modeling, time series analysis, and risk analysis. Key advances in business forecasting techniques, web traffic prediction, and risk management methods have come from our labs. We continue to generate leading-edge research, with statistical experts playing key roles in many cross-disciplinary projects, in such areas as speech recognition, software engineering, systems reliability modeling, supply chain management, VLSI design, and data and text mining.
Statistics PIC co-chairs: Bei Chen (Dublin) and Huijing Jiang (Yorktown)