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(2018.5.24)Heping Zhang:A Deep Learning Perspective of Recursive Partitioning Based Methods
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Update time: 2018-05-09
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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:

Heping Zhang, Susan Dwight Bliss Professor of Biostatistics Yale University School of Medicine

Inviter: 孙六全
Title:
A Deep Learning Perspective of Recursive Partitioning Based Methods
Time & Venue:
2018.5.24 16:30-17:30 N620
Abstract:
Unlike any other method, deep learning has come as a forceful wave that knocked many of us to the sand, regardless of which direction we stood before. In this talk, I will begin with a brief introduction of the main steps of deep learning algorithm, and then use it to reflect on some of the statistical methods that I have developed over the past two decades, specifically classification trees for multiple binary responses (CTMBR) and multivariate adaptive splines for longitudinal data analysis (MASAL). I will discuss the pros and cons of these methods, and offer my own perspective in our missed opportunities as well as new challenges and opportunities.
 

 

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