Inference with normal-gamma prior distributions in regression problems PJ Brown, JE Griffin | 602 | 2010 |
Slice sampling mixture models M Kalli, JE Griffin, SG Walker Statistics and computing 21, 93-105, 2011 | 435 | 2011 |
Order-based dependent Dirichlet processes JE Griffin, MFJ Steel Journal of the American statistical Association 101 (473), 179-194, 2006 | 435 | 2006 |
BAYESIAN HYPER‐LASSOS WITH NON‐CONVEX PENALIZATION JE Griffin, PJ Brown Australian & New Zealand Journal of Statistics, 2011 | 270* | 2011 |
Bayesian correlated clustering to integrate multiple datasets P Kirk, JE Griffin, RS Savage, Z Ghahramani, DL Wild Bioinformatics 28 (24), 3290-3297, 2012 | 255 | 2012 |
Bayesian stochastic frontier analysis using WinBUGS JE Griffin, MFJ Steel Journal of Productivity Analysis 27, 163-176, 2007 | 209 | 2007 |
Covariance measurement in the presence of non-synchronous trading and market microstructure noise JE Griffin, RCA Oomen Journal of Econometrics 160 (1), 58-68, 2011 | 193 | 2011 |
Semiparametric Bayesian inference for stochastic frontier models JE Griffin, MFJ Steel Journal of econometrics 123 (1), 121-152, 2004 | 140 | 2004 |
Sampling returns for realized variance calculations: tick time or transaction time? JE Griffin, RCA Oomen Econometric Reviews 27 (1-3), 230-253, 2008 | 108 | 2008 |
Two-sample Bayesian nonparametric hypothesis testing CC Holmes, F Caron, JE Griffin, DA Stephens | 107 | 2015 |
Inference with non-Gaussian Ornstein–Uhlenbeck processes for stochastic volatility JE Griffin, MFJ Steel Journal of Econometrics 134 (2), 605-644, 2006 | 98 | 2006 |
Hierarchical shrinkage priors for regression models J Griffin, P Brown | 95 | 2017 |
Time-varying sparsity in dynamic regression models M Kalli, JE Griffin Journal of Econometrics 178 (2), 779-793, 2014 | 90 | 2014 |
Stick-breaking autoregressive processes JE Griffin, MFJ Steel Journal of econometrics 162 (2), 383-396, 2011 | 89* | 2011 |
Discovering transcriptional modules by Bayesian data integration RS Savage, Z Ghahramani, JE Griffin, BJ De la Cruz, DL Wild Bioinformatics 26 (12), i158-i167, 2010 | 79 | 2010 |
Posterior simulation of normalized random measure mixtures JE Griffin, SG Walker Journal of Computational and Graphical Statistics 20 (1), 241-259, 2011 | 77 | 2011 |
Bayesian nonparametric vector autoregressive models M Kalli, JE Griffin Journal of econometrics 203 (2), 267-282, 2018 | 69 | 2018 |
Bayesian nonparametric modelling of the return distribution with stochastic volatility EI Delatola, JE Griffin | 66 | 2011 |
Compound random measures and their use in Bayesian nonparametrics JE Griffin, F Leisen Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 64 | 2017 |
Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors JE Griffin, E Matechou, AS Buxton, D Bormpoudakis, RA Griffiths Journal of the Royal Statistical Society Series C: Applied Statistics 69 (2 …, 2020 | 57 | 2020 |