Ewch i’r prif gynnwys
 Hayley Randall

Hayley Randall

Myfyriwr ymchwil, Yr Ysgol Mathemateg

M/1.08, 21-23 Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG

Mae'r cynnwys hwn ar gael yn Saesneg yn unig.


Research Group


Research Interests

Dimension Reduction.


MA1500 Introduction For Probability Theory (Tutorials).


Traethawd ymchwil

Machine learning and dimension reduction methods for high-dimensional datasets

In today’s environment where computer processors are powerful and computer memory cheap, researchers are able to collect and store huge amounts of data. Analysing that data needs sophisticated statistical and computational methods as most classic statistical methodology was developed at an era where data collection was not as easy and datasets where a lot of orders of magnitude smaller. Sufficient dimension reduction (SDR) is a class of methods for feature extraction in regression and classification problems with the purpose of reducing the size of a multidimensional dataset to a few important features. This has the potential of improving visualization of the most important relationships between the variables.


Prof Anatoly Zhigljavsky photograpgh

Yr Athro Anatoly Zhigljavsky

Chair in Statistics