Jim E. Griffin

24 papers A* 1Journal 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
A real-time metric of online engagement monitoring.
CoRR
Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou, Takoua Jendoubi
2025 J jnl
Beta-CoRM: A Bayesian approach for n-gram profiles analysis.
Comput. Stat. Data Anal.
José A. Perusquía, Jim E. Griffin, Cristiano Villa
2025 J jnl
Fast Bayesian inference in a class of sparse linear mixed effects models.
Stat. Comput.
Maria-Zafeiria Spyropoulou, James G. Hopker, Jim E. Griffin
2024 J jnl
Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning.
CoRR
Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou, Takoua Jendoubi
2023 J jnl
Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models.
Entropy
Xitong Liang, Samuel Livingstone, Jim E. Griffin
2023 A* conf
Structure Learning with Adaptive Random Neighborhood Informed MCMC.
NeurIPS
Xitong Liang, Alberto Caron, Samuel Livingstone, Jim E. Griffin
2023 J jnl
Structure Learning with Adaptive Random Neighborhood Informed MCMC.
CoRR
Alberto Caron, Xitong Liang, Samuel Livingstone, Jim E. Griffin
2022 J jnl
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection.
Stat. Comput.
Xitong Liang, Samuel Livingstone, Jim E. Griffin
2021 J jnl
An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models.
Stat. Comput.
Kitty Yuen Yi Wan, Jim E. Griffin
2020 J jnl
Bayesian Models Applied to Cyber Security Anomaly Detection Problems.
CoRR
José A. Perusquía, Jim E. Griffin, Cristiano Villa
2020 J jnl
On a Bayesian Approach to Malware Detection and Classification through n-gram Profiles.
CoRR
José A. Perusquía, Jim E. Griffin, Cristiano Villa
2020 J jnl
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification.
Adv. Data Anal. Classif.
Nathan Cunningham, Jim E. Griffin, David L. Wild
2018 J jnl
Discussion of "Nonparametric Bayesian Inference in Applications": Bayesian nonparametric methods in econometrics.
Stat. Methods Appl.
Jim E. Griffin, Maria Kalli, Mark F. J. Steel
2017 J jnl
Sequential Monte Carlo methods for mixtures with normalized random measures with independent increments priors.
Stat. Comput.
Jim E. Griffin
2016 J jnl
An adaptive truncation method for inference in Bayesian nonparametric models.
Stat. Comput.
Jim E. Griffin
2013 J jnl
A Bayesian semiparametric model for volatility with a leverage effect.
Comput. Stat. Data Anal.
E.-I. Delatola, Jim E. Griffin
2013 J jnl
On Bayesian nonparametric modelling of two correlated distributions.
Stat. Comput.
M. Kolossiatis, Jim E. Griffin, M. F. J. Steel
2013 J jnl
On adaptive Metropolis-Hastings methods.
Stat. Comput.
Jim E. Griffin, Stephen G. Walker
2012 J jnl
Bayesian correlated clustering to integrate multiple datasets.
Bioinform.
Paul D. W. Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild
2012 J jnl
Cross-validation prior choice in Bayesian probit regression with many covariates.
Stat. Comput.
Demetris Lamnisos, Jim E. Griffin, M. F. J. Steel
2011 J jnl
Modeling overdispersion with the normalized tempered stable distribution.
Comput. Stat. Data Anal.
M. Kolossiatis, Jim E. Griffin, M. F. J. Steel
2011 J jnl
Slice sampling mixture models.
Stat. Comput.
Maria Kalli, Jim E. Griffin, Stephen G. Walker
2010 J jnl
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes.
Comput. Stat. Data Anal.
Jim E. Griffin, M. F. J. Steel
2010 J jnl
Discovering transcriptional modules by Bayesian data integration.
Bioinform.
Richard S. Savage, Zoubin Ghahramani, Jim E. Griffin, Bernard J. de la Cruz, David L. Wild