For the current REF see the REF 2021 website REF 2021 logo

Output details

15 - General Engineering

University of Cambridge

Return to search Previous output Next output
Output 0 of 0 in the submission
Article title

Nonparametric Bayesian sparse factor models with application to gene

expression modeling

Type
D - Journal article
Title of journal
Annals of Applied Statistics 2011, Vol. 5, No. 2B, 1534-1552
Article number
-
Volume number
5
Issue number
2B
First page of article
1534
ISSN of journal
1932-6157
Year of publication
2010
Number of additional authors
1
Additional information

Based on this work, Dr Knowles (ID_in_audit_file@gmail.com) has been hired by Stanford University to continue research in this area. This work also resulted in a funded collaboration with Microsoft Research Cambridge (contact Dr John Winn, ID_in_audit_file@johnwinn.org) including a paid part-time position for Dr Knowles. A research contract with Infosys Bangalore India (contact Dr Lokendra Shastri, ID_in_audit_file@infosys.com) worth USD296,653 was obtained applying similar Bayesian factor methods to market basket analysis and recommender systems.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-