Jim Griffin
TitleCited byYear
Order-based dependent Dirichlet processes
JE Griffin, MFJ Steel
Journal of the American statistical Association 101 (473), 179-194, 2006
3732006
Inference with normal-gamma prior distributions in regression problems
JE Griffin, PJ Brown
Bayesian Analysis 5 (1), 171-188, 2010
3422010
Slice sampling mixture models
M Kalli, JE Griffin, SG Walker
Statistics and computing 21 (1), 93-105, 2011
2722011
BAYESIAN HYPER‐LASSOS WITH NON‐CONVEX PENALIZATION
JE Griffin, PJ Brown
Australian & New Zealand Journal of Statistics, 2011
200*2011
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
1712011
Bayesian stochastic frontier analysis using WinBUGS
JE Griffin, MFJ Steel
Journal of Productivity Analysis 27 (3), 163-176, 2007
1502007
Bayesian correlated clustering to integrate multiple datasets
P Kirk, JE Griffin, RS Savage, Z Ghahramani, DL Wild
Bioinformatics 28 (24), 3290-3297, 2012
1182012
Semiparametric Bayesian inference for stochastic frontier models
JE Griffin, MFJ Steel
Journal of econometrics 123 (1), 121-152, 2004
1052004
Sampling returns for realized variance calculations: tick time or transaction time?
JE Griffin, RCA Oomen
Econometric Reviews 27 (1-3), 230-253, 2008
842008
Inference with non-Gaussian Ornstein–Uhlenbeck processes for stochastic volatility
JE Griffin, MFJ Steel
Journal of Econometrics 134 (2), 605-644, 2006
772006
Two-sample Bayesian nonparametric hypothesis testing
CC Holmes, F Caron, JE Griffin, DA Stephens
Bayesian Analysis 10 (2), 297-320, 2015
672015
Posterior simulation of normalized random measure mixtures
JE Griffin, SG Walker
Journal of Computational and Graphical Statistics 20 (1), 241-259, 2011
652011
Stick-breaking autoregressive processes
JE Griffin, MFJ Steel
Journal of econometrics 162 (2), 383-396, 2011
59*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
562010
Time-varying sparsity in dynamic regression models
M Kalli, JE Griffin
Journal of Econometrics 178 (2), 779-793, 2014
442014
Bayesian nonparametric modelling of the return distribution with stochastic volatility
EI Delatola, JE Griffin
Bayesian Analysis 6 (4), 901-926, 2011
412011
Comparing distributions by using dependent normalized random‐measure mixtures
JE Griffin, M Kolossiatis, MFJ Steel
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
402013
Method and apparatus for predicting whether a specified event will occur after a specified trigger event has occurred
C Hoggart, J Griffin
US Patent App. 09/865,066, 2002
372002
Default priors for density estimation with mixture models
JE Griffin
Bayesian Analysis 5 (1), 45-64, 2010
35*2010
Flexible Bayesian sparsity modelling for high dimensional data with the Eigen-CNG prior
JE Griffin, PJ Brown
Bayesian Analysis 1 (1), 1-11, 2004
35*2004
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Articles 1–20