Jim E. Griffin

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 9

Top Topics

Malware Detection

Cross Validation

Bayesian Nonparametric

Top Venues

Stat. Methods Appl.

Publications

Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin
Structure Learning with Adaptive Random Neighborhood Informed MCMC. NeurIPS (2023)
Xitong Liang, Samuel Livingstone, Jim E. Griffin
Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models. Entropy 25 (9) (2023)
Kitty Yuen Yi Wan, Jim E. Griffin
An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models. Stat. Comput. 31 (1) (2021)
José A. Perusquía, Jim E. Griffin, Cristiano Villa
On a Bayesian Approach to Malware Detection and Classification through n-gram Profiles. CoRR (2020)
José A. Perusquía, Jim E. Griffin, Cristiano Villa
Bayesian Models Applied to Cyber Security Anomaly Detection Problems. CoRR (2020)
Nathan Cunningham, Jim E. Griffin, David L. Wild
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification. Adv. Data Anal. Classif. 14 (2) (2020)
Jim E. Griffin, Maria Kalli, Mark F. J. Steel
Discussion of "Nonparametric Bayesian Inference in Applications": Bayesian nonparametric methods in econometrics. Stat. Methods Appl. 27 (2) (2018)
Jim E. Griffin
Sequential Monte Carlo methods for mixtures with normalized random measures with independent increments priors. Stat. Comput. 27 (1) (2017)
Jim E. Griffin
An adaptive truncation method for inference in Bayesian nonparametric models. Stat. Comput. 26 (1-2) (2016)
M. Kolossiatis, Jim E. Griffin, M. F. J. Steel
On Bayesian nonparametric modelling of two correlated distributions. Stat. Comput. 23 (1) (2013)
E.-I. Delatola, Jim E. Griffin
A Bayesian semiparametric model for volatility with a leverage effect. Comput. Stat. Data Anal. 60 (2013)
Jim E. Griffin, Stephen G. Walker
On adaptive Metropolis-Hastings methods. Stat. Comput. 23 (1) (2013)
Paul D. W. Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild
Bayesian correlated clustering to integrate multiple datasets. Bioinform. 28 (24) (2012)
Demetris Lamnisos, Jim E. Griffin, M. F. J. Steel
Cross-validation prior choice in Bayesian probit regression with many covariates. Stat. Comput. 22 (2) (2012)
M. Kolossiatis, Jim E. Griffin, M. F. J. Steel
Modeling overdispersion with the normalized tempered stable distribution. Comput. Stat. Data Anal. 55 (7) (2011)
Maria Kalli, Jim E. Griffin, Stephen G. Walker
Slice sampling mixture models. Stat. Comput. 21 (1) (2011)
Jim E. Griffin, M. F. J. Steel
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes. Comput. Stat. Data Anal. 54 (11) (2010)
Richard S. Savage, Zoubin Ghahramani, Jim E. Griffin, Bernard J. de la Cruz, David L. Wild
Discovering transcriptional modules by Bayesian data integration. Bioinform. 26 (12) (2010)