Jim Griffin
University College London
H-index: 33
Europe-United Kingdom
Top articles of Jim Griffin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Structure Learning with Adaptive Random Neighborhood Informed MCMC | Advances in Neural Information Processing Systems | Xitong Liang Alberto Caron Samuel Livingstone Jim Griffin | 2024/2/13 |
A loss discounting framework for model averaging and selection in time series models | International Journal of Forecasting | Dawid Bernaciak Jim E Griffin | 2024/3/27 |
Expressing and visualizing model uncertainty in Bayesian variable selection using Cartesian credible sets | arXiv preprint arXiv:2402.12323 | JE Griffin | 2024/2/19 |
Shrinkage priors for high-dimensional demand estimation | Quantitative Marketing and Economics | Adam N Smith Jim E Griffin | 2023/3 |
Discussion of “Multivariate dynamic modeling for Bayesian forecasting of business revenue” by AK Yanchenko et al. | Applied Stochastic Models in Business and Industry | Mike K.P. So Cathy W.S. Chen | 2022/11/2 |
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models | Entropy | Xitong Liang Samuel Livingstone Jim Griffin | 2023/9/8 |
Normalised latent measure factor models | Journal of the Royal Statistical Society Series B: Statistical Methodology | Mario Beraha Jim E Griffin | 2023/9 |
A general modeling framework for open wildlife populations based on the Polya tree prior | Biometrics | Alex Diana Eleni Matechou Jim Griffin Todd Arnold Simone Tenan | 2023/9 |
Competitive performance as a discriminator of doping status in elite athletes | Drug Testing and Analysis | James G Hopker Jim E Griffin Laurentiu C Hinoveanu Jonas Saugy Raphael Faiss | 2023/8/21 |
Bayesian inference of vector autoregressions with tensor decompositions | arXiv preprint arXiv:2211.01727 | Yiyong Luo Jim E Griffin | 2022/11/3 |
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable selection | Statistics and Computing | Xitong Liang Samuel Livingstone Jim Griffin | 2022/10 |
Survival regression models with dependent Bayesian nonparametric priors | Journal of the American Statistical Association | Alan Riva-Palacio Fabrizio Leisen Jim Griffin | 2022/9/14 |
Bayesian modelling of elite sporting performance with large databases | Journal of Quantitative Analysis in Sports | Jim E Griffin Laurenţiu C Hinoveanu James G Hopker | 2022/12/16 |
Bayesian models applied to cyber security anomaly detection problems | José A Perusquía Jim E Griffin Cristiano Villa | 2022/4 | |
A vector of point processes for modeling interactions between and within species using capture‐recapture data | Environmetrics | Alex Diana Eleni Matechou Jim E Griffin Yadvendradev Jhala Qamar Qureshi | 2022/12 |
Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale | Scientific reports | Andrew Buxton Alex Diana Eleni Matechou Jim Griffin Richard A Griffiths | 2022/1/25 |
eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring | arXiv preprint arXiv:2211.12213 | Alex Diana Eleni Matechou Jim Griffin Douglas Yu Mingjie Luo | 2022/11/22 |
A Bayesian quantile time series model for asset returns | Journal of Business & Economic Statistics | Jim E Griffin Gelly Mitrodima | 2022/1/2 |
Bayesian global-local shrinkage methods for regularisation in the high dimension linear model | Jim E Griffin Philip J Brown | 2021/3/15 | |
Adaptive computational methods for Bayesian variable selection | Jim E Griffin Mark FJ Steel | 2021/12/24 |
Co-Authors
