Speakers:Yuying Sun (Academy of Mathematics and Systems science, Chinese Academy of Sciences)
Time: June, 29, 2023 (Thursday),14:30-17:30
Venue:Meeting Room 203, College Building 11
Abstract:With the continuous development of information technology and the Internet, data types are greatly enriched, and more data presents the characteristics of complex data. Among them, interval data is one of the main representative types of complex data, and traditional econometric and statistical methods are no longer effective in analyzing this type of data. How to model complex data, especially interval data, is a new challenge and opportunity faced by econometrics. We propose a new interval econometric Economic methodology method based on Probability theory of random sets, and use a large number of representative examples in economics and finance to discuss the practical application of interval data. This method establishes Probability theory and mathematical methods suitable for interval data, breaks away from the traditional two-point modeling framework, regards interval variables as indivisible random sets, and uses interval samples to model random interval processes, and makes statistical inference on interval population, which directly generates interval prediction. Interval Data modeling is full of challenges, and there are still a lot of scientific problems that need further research and exploration.
Keywords:parameter estimation; Macroeconomics; Financial markets; Interval management; Interval data; Random Set Modeling
