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SUMMARY:On Statistical Learning for Individualized Decision Making with Co
 mplex Data - Chengchun Shi\, London School of Economics
DTSTART:20200207T140000Z
DTEND:20200207T150000Z
UID:TALK135958@talks.cam.ac.uk
CONTACT:Dr Sergio Bacallado
DESCRIPTION:In this talk\, I will present my research on individualized de
 cision making with modern complex data. In precision medicine\, individual
 izing the treatment decision rule can capture patients' heterogeneous resp
 onse towards treatment. In finance\, individualizing the investment decisi
 on rule can improve individual's financial well-being. In a ride-sharing c
 ompany\, individualizing the order dispatching strategy can increase its r
 evenue and customer satisfaction. With the fast development of new technol
 ogy\, modern datasets often consist of massive observations\, high-dimensi
 onal covariates and are characterized by some degree of heterogeneity.  Th
 e talk is divided into two parts. In the first part\, I will focus on the 
 data heterogeneity and introduce a new maximin-projection learning for rec
 ommending an overall individualized decision rule based on the observed da
 ta from different populations with heterogeneity in optimal individualized
  decision making.  In the second part\, I will briefly summarize the stati
 stical learning methods I've developed for individualized decision making 
 with complex data.
LOCATION:MR12
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