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Yipeng Song developed various data fusion approaches to tackle heterogeneity in multiple data sets.

Detail Summary
Date 27 September 2019
Time 11:00
Location Aula - Lutherse kerk

In biological research, multiple high dimensional measurements from different platforms on the same biological system are becoming increasingly common. These different sources of measurements not only provide us with the opportunity to gain a deeper understanding of the studied system, but they also introduce some new statistical challenges. All these challenges are related to the heterogeneity of the data sets. In his thesis, Yipeng Song developed various data fusion approaches to tackle either one or two types of heterogeneity that exist in multiple data sets.

Y. Song: Fusing heterogeneous data sets.

Supervisor

Prof. A.K. Smilde 

Co-supervisor

Dr J.A. Westerhuis

Entrance

This event is open to the public.

Aula - Lutherse kerk
Aula - Lutherse kerk

Singel 411
1012 XM Amsterdam