Jim Griffin’s research page

I am a Senior Lecturer in Statistics at the School of Mathematics, Statistics and Actuarial Science, University of Kent. My contact details are here and my interests are:

· Bayesian nonparametric methods including slice sampling for posterior simulation and the construction of dependent nonparametric priors.

· Inference with financial data including the analysis of high frequency data, volatility processes with jumps and the application of Bayesian nonparametric methods to stochastic volatility modelling.

· Bayesian methods for variable selection methods with many regressors including efficient computation, the use of shrinkage priors and applications in bioinformatics.

· Efficiency measurement using stochastic frontier models.

Preprints Publications PhD Students

Preprints

2012
Time-Varying Sparsity in Dynamic Regression Models (with M. Kalli)

2011
A Bayesian Semiparametric Model for Volatility Model with a Leverage Effect (with E.-I. Delatola)
Sequential Monte Carlo methods for normalized random measure with independent increments mixtures
Bayesian multivariate density estimation for observables and random effects
Flexible Modelling of Dependence in Volatility Processes (with M. Kalli)
Adaptive Monte Carlo for Bayesian Variable Selection in Regression Models (with D. S. Lamnisos and M. F. J. Steel, revised), Journal of Computational and Graphical Statistics, forthcoming.

2010
Comparing Distributions Using Dependent Normalized Random Measure Mixtures (revised, November 2011, with M. Kolossiatis and M. F. J. Steel)

2009
Two-sample Bayesian nonparametric hypothesis testing (with C. C. Holmes, F. Caron and D. A. Stephens)

Publications

In press
Structuring shrinkage: some correlated priors for regression (with P. J. Brown), Biometrika, forthcoming.
On Adaptive Metropolis-Hastings Methods (with S. G. Walker), Statistics and Computing, forthcoming.
On Bayesian nonparametric modelling of two correlated distributions (with M. Kolossiatis and M. F. J. Steel), Statistics and Computing, forthcoming.

2012
Cross-validation prior choice in Bayesian probit regression with many covariates (with D. Lamnisos and M. F. J. Steel), Statistics and Computing, 22, 359-373.

2011
Bayesian adaptive lassos with non-convex penalization (with P. J. Brown), Australian and New Zealand Journal of Statistics, 53, 423-442.
Bayesian Nonparametric Modelling of the Return Distribution with Stochastic Volatility (with E.-I. Delatola), Bayesian Analysis, 6, 901-926. (Matlab code is available)
Bayesian Clustering of Distributions in Stochastic Frontier Analysis, Journal of Productivity Analysis, 36, 275-283.
Inference in Infinite Superpositions of non-Gaussian Ornstein-Uhlenbeck processes using Bayesian nonparametric methods, Journal of Financial Econometrics, 9, 519-549.
The Ornstein-Uhlenbeck Dirichlet Process and other time-varying processes for Bayesian nonparametric inference, Journal of Statistical Planning and Inference, 141, 3648-3664.
Modelling overdispersion with the Normalized Tempered Stable distribution (with M. Kolossiatis and M. F. J. Steel), Computational Statistics and Data Analysis, 55, 2288-2301.
Stick-Breaking Autoregressive Processes (with M. F. J. Steel), Journal of Econometrics, 162, 383-396.
Posterior Simulation of Normalized Random Measure Mixtures (with S. G. Walker), Journal of Computational and Graphical Statistics, 20, 241-259. (Matlab code is available)
Slice Sampling Mixture Models (with M. Kalli and S. G. Walker), Statistics and Computing, 21, 93-105.
Covariance measurement in the presence of non-synchronous trading and market microstructure noise (with R. C. A. Oomen), Journal of Econometrics, 160, 58-68.

2010
Bayesian Nonparametric Modelling with the Dirichlet Process Regression Smoother (with M. F. J. Steel), Statistica Sinica, 20, 1507-1527.
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes (with M. F. J. Steel), Computational Statistics and Data Analysis, 54, 2594-2608. (Matlab code is available)
Discovering Transcriptional Modules from Bayesian Data Fusion (with R. S. Savage, Z. Ghahramani, B. J. de la Cruz and D. L. Wild), Bioinformatics, 26, 1158-1167.
Inference with Normal-Gamma prior distributions in regression problems (with P. J. Brown), Bayesian Analysis, 5, 171-188.
Default priors for density estimation with mixture models (Matlab code is available), Bayesian Analysis, 5, 45-64.

2009
Transdimensional sampling algorithms for Bayesian variable selection in classification problems with many more variables than observations (with D. Lamnisos and M. F. J. Steel), Journal of Computational and Graphical Statistics, 18, 592-612. (Matlab Code and a ReadMe file are available)

2008
Flexible Mixture Modelling of Stochastic Frontiers (with M. F. J. Steel), Journal of Productivity Analysis, 29, 33-50.
Sampling Returns for Realized Variance Calculations: Tick Time or Transaction Time? (with R. C. A. Oomen), Econometric Reviews, 27, 230-253.

2007
Bayesian Stochastic Frontier Analysis Using WinBUGS (with M. F. J. Steel), Journal of Productivity Analysis, 27, 163-176. (WinBugs code is available)

2006
Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility (with M. F .J. Steel), Journal of Econometrics, 134, 605-644.
Order-Based Dependent Dirichlet Processes (with M. F. J. Steel), Journal of the American Statistical Association, Theory and Methods, 101, 179-194.

2004
Semiparametric Bayesian Inference for Stochastic Frontier Models (with M. F. J. Steel), Journal of Econometrics, 123, 121-152. (Matlab code is available)

2001
A Bayesian Partition Model for Customer Attrition (with C. J. Hoggart), in Bayesian Methods with Applications to Science, Policy and Official Statistics (Selected Papers from ISBA 2000): The Sixth World Meeting of the International Society for Bayesian Analysis, 223-232.

PhD Students

Current
Bill Sakaria (University of Kent) – Modelling Financial Contagion

Former
Vasiliki Dimitrakopoulou (University of Kent) – “Bayesian Variable Selection in Cluster Analysis” (with Phil Brown)
Eleni-Ioanna Delatola (University of Kent) – “Bayesian Nonparametric Modelling of Financial Data”
Kitty Wan (University of Kent) – “Statistical Methods for the Analysis of Genetic Association Studies” (with Phil Brown)
Michalis Kolossiatis (University of Warwick) – “Modelling via Normalisation for Parametric and Nonparametric Inference” (with Mark Steel)
Demetris Lamnisos (University of Warwick) – “Bayesian Variable Selection for Binary Regression with Many More Variables than Observations” (with Mark Steel)