Output details
10 - Mathematical Sciences
Imperial College London
Return to search
Output 0 of 0 in the submission
Article title
BAYESIAN ANOMALY DETECTION METHODS FOR SOCIAL NETWORKS
Type
D - Journal article
Title of journal
Annals of Applied Statistics
Article number
-
Volume number
4
Issue number
2
First page of article
645
ISSN of journal
1932-6157
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
-
Interdisciplinary
-
Cross-referral requested
-
Research group
P - Statistics - Statistics & Biostatistics
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-