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Details of Grant 

EPSRC Reference: EP/P031447/1
Title: Statistical methodology and theory for the Big Data era (Ext.)
Principal Investigator: Samworth, Professor RJ
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Aalborg University Hospital
Department: Pure Maths and Mathematical Statistics
Organisation: University of Cambridge
Scheme: EPSRC Fellowship
Starts: 01 December 2017 Ends: 30 November 2020 Value (£): 610,894
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
18 Jul 2017 EPSRC Mathematical Sciences Fellowship Interviews July 2017 Announced
07 Jun 2017 EPSRC Mathematical Sciences Prioritisation Panel June 2017 Announced
Summary on Grant Application Form
This is an extension of the Fellowship 'New challenges in

high-dimensional statistical inference' (EP/J017213/1).

The project will involve developing methodology and theory for a range

of modern statistical problems from high-dimensional and nonparametric

statistical inference. Such problems lie at the heart of modern

data science, an area where the UK urgently needs to grow its capacity.

Specific challenges to be addressed include the development of methods

for dimension reduction, variable selection and uncertainty

quantification, among several others. These are some of the

fundamental problems faced by practitioners in the Big Data era, and

demand highly innovative solutions. Our proposed techniques will be

proven to be robust via appropriate theoretical justification, and

will be implemented in free, open source software so as to maximise

the impact of the research.

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Project URL:  
Further Information:  
Organisation Website: http://www.cam.ac.uk