Ewch i’r prif gynnwys
Mr Ben Jones

Mr Ben Jones

Research student, Yr Ysgol Mathemateg

M/1.10a, 21-23 Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG


B.Sc. Mathematics, (Cardiff University, 2013-2015)


Maths Support (Spring 2017/2018) - providing support for Mathematics and Statistics to students across the university.


MA1801 Finance 1: Financial Markets and Corporate Financial Management (Spring 2017/2018)

MA1500 Introduction to Probability Theory (Autumn 2017/2018 & Autumn 2018/2019) [Current]

MA1004 Geometry (Autumn 2017/2018)

MA1006 Foundations of Mathematics II (Spring 2016/2017)

MA1007 Vectors and Matrices (Autumn 2016/2017)

Research interests

Research Group

Statistics Group

Research Interests

Machine Learning, Statistics, Probability Theory, Sufficient Dimension Reduction, Novelty Detection


Machine Learning and Sufficient Dimension Reduction methods for Functional Data


Machine Learning and Dimension Reduction methods for Functional Data

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. My work focuses on the improvement of existing methodology, including machine learning methods, for more accurate and computationally faster estimation algorithms to achieve SDR for functional data.


Areas of expertise

External profiles