Robust statistical methodology and theory for large-scale data

Project description

New statistical methods to reduce uncertainty in Big Data analytics

Fields of science

• natural sciences › computer and information sciences › artificial intelligence › machine learning › transfer learning
• natural sciences › computer and information sciences › data science › big data
• social sciences › sociology › social issues › corruption
• natural sciences › mathematics › applied mathematics › statistics and probability

Programme(s)

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)

Topic(s)

• ERC-2020-ADG - ERC ADVANCED GRANT

Call for proposal

ERC-2020-ADG
See other projects for this call

Funding Scheme

ERC-ADG - Advanced Grant

Host institution

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

Address

Trinity Lane The Old Schools
CB2 1TN Cambridge
United Kingdom

Activity type

Higher or Secondary Education Establishments

Links

EU contribution

€ 2 050 068

Beneficiaries (1)

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

United Kingdom

EU contribution

€ 2 050 068

Address

Trinity Lane The Old Schools
CB2 1TN Cambridge

Activity type

Higher or Secondary Education Establishments

Links