Robust statistical methodology and theory for large-scale data

Project Information

RobustStats

Grant agreement ID: 101019498

DOI 10.3030/101019498

EC signature date 27 May 2021

Start date 1 October 2021

End date 30 September 2027

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 2 050 068,00

EU contribution € 2 050 068,00

Coordinated by

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (4)

Nonparametric, tuning-free estimation of S-shaped functions

Author(s): Feng, O. Y., Chen Y., Han, Q., Carroll, R. J. and Samworth, R. J.
Published in: Journal of the Royal Statistical Society, Series B, 2022, ISSN 1369-7412
Publisher: Blackwell Publishing Inc.

USP: an independence test that improves on Pearson's chi-squared and the $G$-test

Author(s): Thomas B. Berrett; Richard J. Samworth
Published in: nlmid: 9891746, Issue 1, 2021, ISSN 1471-2946
Publisher: Royal Society
DOI: 10.17863/cam.82635

High-dimensional changepoint estimation with heterogeneous missingness

Author(s): Follain, B., Wang, T. and Samworth, R. J.
Published in: Journal of the Royal Statistical Society, Series B, 2022, ISSN 1369-7412
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/rssb.12540

High-Dimensional Principal Component Analysis with Heterogeneous Missingness

Author(s): Zhu, Ziwei; Wang, Tengyao; Samworth, Richard J
Published in: essn: 1467-9868, Issue 1, 2022, ISSN 1369-7412
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/rssb.12550

Monographic books (1)

A unifying tutorial on Approximate Message Passing

Author(s): Feng, O. Y., Venkataramanan, R., Rush, C. and Samworth, R. J.
Published in: Foundations and Trends in Machine Learning, Issue 1, 2022
Publisher: 978-1-63828-004-0
DOI: 10.1561/2200000092