Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes
From MaRDI portal
Publication:3121172
DOI10.1080/01621459.2018.1423984zbMath1409.62168OpenAlexW2790017730MaRDI QIDQ3121172
Alexander Bolton, Nicholas A. Heard
Publication date: 20 March 2019
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10044/1/56640
reversible jump Markov chain Monte Carlochange point analysisregime-switchingdynamic instruction trace
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics (62P99)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Variational Bayes for regime-switching log-normal models
- Detection of intrusions in information systems by sequential change-point methods
- Efficient Bayesian estimation of the multivariate double chain Markov model
- A two-state regime switching autoregressive model with an application to river flow analysis
- Detecting change-points in Markov chains
- Calculating posterior distributions and modal estimates in Markov mixture models
- A Markov model for switching regressions
- Stochastic identification of malware with dynamic traces
- Online change detection of Markov chains with unknown post-change transition probabilities
- The Optimal Stopping Time for Detecting Changes in Discrete Time Markov Processes
- Optimal Detection of Changepoints With a Linear Computational Cost
- CONTINUOUS INSPECTION SCHEMES
This page was built for publication: Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes