On Bayesian new edge prediction and anomaly detection in computer networks
From MaRDI portal
Publication:2291541
DOI10.1214/19-AOAS1286zbMath1437.62234MaRDI QIDQ2291541
Nicholas A. Heard, Silvia Metelli
Publication date: 31 January 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1574910056
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Probabilistic graphical models (62H22)
Related Items
Graph link prediction in computer networks using Poisson matrix factorisation ⋮ Subset Multivariate Collective and Point Anomaly Detection ⋮ Bayesian Models Applied to Cyber Security Anomaly Detection Problems ⋮ Link prediction in dynamic networks using random dot product graphs ⋮ On Bayesian new edge prediction and anomaly detection in computer networks
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Spectral clustering and the high-dimensional stochastic blockmodel
- On Bayesian new edge prediction and anomaly detection in computer networks
- Tracking Dynamic Point Processes on Networks
- Biclustering via Sparse Singular Value Decomposition
- Stability Selection
- Point Process Modelling for Directed Interaction Networks
- A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
- ON A METHOD OF DETERMINING WHETHER A SAMPLE OF SIZE n SUPPOSED TO HAVE BEEN DRAWN FROM A PARENT POPULATION HAVING A KNOWN PROBABILITY INTEGRAL HAS PROBABLY BEEN DRAWN AT RANDOM
- Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime