Recent machine learning techniques such as deep learning and reinforcement learning were built on specific assumptions of the underlying data generation process.  Financial time series frequently do not satisfy these assumptions.  In this talk, we discuss the possible problems if these techniques are applied blindly.  The solutions to these problems are in general problem specific.  However, some of the pain can be alleviated by combining recent machine learning techniques with more classical statistical and econometrics insights.  We will discuss these probable solutions with examples.

12月9日
2pm - 3:30pm
地点
Room 2502 (Lifts 25/26)
讲者/表演者
Prof. Jack CK WONG
Professor of Science Practice, HKUST
主办单位
Department of Mathematics
联系方法
付款详情
对象
Alumni, Faculty and staff, PG students, UG students
语言
英语
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