Jim E. Griffin

Orcid: 0000-0002-4828-7368

Affiliations:
  • University of Kent, Canterbury, UK


According to our database1, Jim E. Griffin authored at least 20 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Beta-CoRM: A Bayesian approach for n-gram profiles analysis.
Comput. Stat. Data Anal., 2025

2023
Adaptive MCMC for Bayesian Variable Selection in Generalised Linear Models and Survival Models.
Entropy, September, 2023

Structure Learning with Adaptive Random Neighborhood Informed MCMC.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection.
Stat. Comput., 2022

2021
An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models.
Stat. Comput., 2021

2020
On a Bayesian Approach to Malware Detection and Classification through n-gram Profiles.
CoRR, 2020

Bayesian Models Applied to Cyber Security Anomaly Detection Problems.
CoRR, 2020

ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification.
Adv. Data Anal. Classif., 2020

2018
Discussion of "Nonparametric Bayesian Inference in Applications": Bayesian nonparametric methods in econometrics.
Stat. Methods Appl., 2018

2017
Sequential Monte Carlo methods for mixtures with normalized random measures with independent increments priors.
Stat. Comput., 2017

2016
An adaptive truncation method for inference in Bayesian nonparametric models.
Stat. Comput., 2016

2013
On Bayesian nonparametric modelling of two correlated distributions.
Stat. Comput., 2013

On adaptive Metropolis-Hastings methods.
Stat. Comput., 2013

A Bayesian semiparametric model for volatility with a leverage effect.
Comput. Stat. Data Anal., 2013

2012
Cross-validation prior choice in Bayesian probit regression with many covariates.
Stat. Comput., 2012

Bayesian correlated clustering to integrate multiple datasets.
Bioinform., 2012

2011
Slice sampling mixture models.
Stat. Comput., 2011

Modeling overdispersion with the normalized tempered stable distribution.
Comput. Stat. Data Anal., 2011

2010
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes.
Comput. Stat. Data Anal., 2010

Discovering transcriptional modules by Bayesian data integration.
Bioinform., 2010


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