 MCF imaging software  Modelcontrolled flooding methodology
in image reconstruction and segmentation, applied to a diverse array of
data sets
 Our GPU StatSci web page and resource for GPU programming in statistical science,
including software for GPU implementations of MCMC and optimization in Bayesian mixture models, other
software links and resources
 The BFRM software for Bayesian Factor Regression Models: A framework
for Bayesian modelling and analysis of sparse
latent factor and facterregression models, with a number of developments related to applications in
analysis of largescale gene expression data sets
 Additional code (in R) for Bayesian MAP estimation and analysis of
sparse graphical factor models
based on the 2010 JMLR paper with
Ryo Yoshida
 The CDP software for hierarchical
Cluster Dirichlet Process mixture modelling of
multivariate data, for nonGaussian mixture component models in clustering, classification and
discrimination
 The PROPA software: Bayesian models and analysis for the problem of
biological pathway annotation  matching sets of "signature" genes from
genomic studies to communitywide data bases of biological pathway gene lists.
 Software for MCMC and stochastic model search in the class of
matrix graphical models,
with examples of application in analysis of matrix data and time series.
 Software for MCMC and model fitting in the class of
DLMGASP models
that combine multivariate, timevarying autoregressive time series models with Gaussian processes
for applications in computer model emulation.
 CellTracer software for automated dynamic image
analysis for single cell fluorescent micorscopy studies.
 The SSS software for Shotgun Stochastic Search for regression variable search and
uncertainty analysis. Linear, binary and survival regression models are efficiently implemented for
"large p" problems, with examples. Serial (Windows, linux/unix, 64bit linux) and parallel (linux cluster)
code is available, with or without GUI facilities.
 The HIW Sampler software for simulation of hyperinverse Wishart distributions arising in
sparse graphical modelling for multivariate analysis, time series and other applications
 Software for Bayesian prediction tree modelling, using MCMC
methods for exploring spaces of Bayesian classification and regression
tree models.
 The GGM software for Stochastic Computation in Gaussian Graphical Models
 The GraphExplore software for dynamically exploring large graphical structures such as generated from statistical graphical models
 The TVAR software for Nonstationary Time Series Analysis and Decomposition
 The AR modelling software for Autoregressive Component Models, incorporating model uncertainty
and unit roots in time series
 The OD Flow code for OriginDestination network flow modelling,
as described in, and using examples from, C. Tebaldi & M. West,
Bayesian inference on network traffic data using
link count data (with discussion) JASA, 93, 1998, 557576.
 Applied Bayesian Forecasting textbook, with
the BATS software, and the more advanced/comprehensive
 Bayesian Forecasting and Dynamic Models textbook and research monograph
 Software created with students and associates of Mike West  
