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CONFERENCE PROGRAM
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The conference program will consist of 6 keynote speakers and 90 oral presentations consisting of a mix of invited and contributed topics. These will be run over three parallel sessions. In addition to this, there will also be two poster evenings.

The conference starts at 2.30pm on Monday, 21st July 2008

Papers based on conference presentations (oral or poster) are welcome as submissions to Bayesian Analysis, the electronic journal of ISBA; see http://ba.stat.cmu.edu/ for details.
 
>> Program Timetable
>> Speakers and Titles
 
 

Please note that a printed copy of the abstracts will not be included in the conference satchels. If you would like to refer to the booklet during the conference, please print the document and bring it with you.


ISBA abstract booklet (972 KB)
 
 
 
 
 

Timetable, Speakers & Titles (47 KB)
 

KEYNOTE SPEAKERS
INVITED SPEAKERS
SPEAKER ABSTRACTS
 
Main Conference Room Endeavour I Endeavour II
Monday 14:30 - 15:00 Introductions etc    
21st July    
15:00 - 15:50 Keynote Speaker: Sylvia Fruhwirth-Schnatter    
   
16:00 - 16:50 Keynote Speaker: Jim Berger    
   
18:30 - 20:00 Dinner at Romano's Italian restaurant for Bayesian Analysis Editors  
20:00 - 22:00 Welcome drinks and Poster session I    
Tuesday
22nd July
8:00 - 8:50 Keynote Speaker: Xiao-Li Meng    
Bayesian nonparametrics Model Specification Environmetrics
9:00 - 9:30 Leslie Hoff Clark
     
9:30 - 10:00 Villani Rice Alexandridis
     
10:00 - 10:30 Bornkanp Craig Strickland
     
10:30 - 10:40 Session Discussion Time    
10:40 - 11:10 Morning Tea    
High-Dimensional Data Analysis Model Assessment Environmetrics
11:10 - 11:40 Morris Peruggia Sanso
     
11:40 - 12:10 Bochkina Aitkin Cripps
     
12:10 - 12:40 Baladandayuthapani Draper Parnell
     
12:40 - 12:50 Session Discussion Time    
12:50 - 15:30 Lunch & Activity    
High-Dimensional Data Analysis Objective Priors and Model Selection Biostatistics
15:30 - 16:00 Green Bernardo Pettitt
     
16:00 - 16:30 Richardson Bayarri Taylor
     
16:30 - 17:00 Fox J. Scott Rigat
     
17:00 - 17:10 Session Discussion Time    
17:10 - 17:20 Short Break    
Analysis of Computer Models Subjective Priors and Elicitation Biostatistics
17:20 - 17:50 Rougier Rousseau Prado
     
17:50 - 18:20 Gattiker Low Choy Weiss
     
18:20 - 18:50 Lee Walsh Do
     
18:50 - 19:00 Session Discussion Time    
19:00 - 20:30 Dinner    
20:30 - 22:30 Poster session II    
Wednesday
23rd July
8:00 - 8:50 Keynote Speaker: Gareth Roberts    
Savage Session 1 Bayesian nonparametric Bayesian Mixture Modelling
9:00 - 9:30 Airoldi Pruenster Alston
     
9:30 - 10:00 Kalogeropoulos De Blasi Geweke
     
10:00 - 10:05 Session Discussion Time    
10:05 - 10:15 Short Break    
Savage Session 2 Classification and clustering Cool Applications
10:15 - 10:45 Minin Robert Godsill
     
10:45 - 11:15 Murray Liverani Buck
     
11:15 - 11:20 Session Discussion Time    
11:20 - 17:00 Optional trip to Whitehaven Beach    
Surveys and Sampling Bayesian Computation Cool Applications
17:00 - 17:30 Zhang Sisson Glickman
     
17:30 - 18:00 Shaw Kohn McVinish
     
18:00 - 18:30 Gamerman Bedard Suchard
     
18:30 - 18:40 Session Discussion Time    
18:40 - 20:30 Dinner    
20:30 - 22:30 Poster session III
Thursday
24th July
8:00 - 8:50 Keynote Speaker: Jeff Rosenthal    
Bayesian Computation Volatility Modelling Bioinformatics, Genetics and Genomics
9:00 - 9:30 Higdon C. Chen L. Chen
     
9:30 - 10:00 Liechty Forbes Nemenman
     
10:00 - 10:30 Robert So West
     
10:30 - 10:40 Session Discussion Time    
10:40 - 11:10 Morning Tea    
Bayesian Computation Nonlinear Time Series Models Bioinformatics, Genetics and Genomics
11:10 - 11:40 Moller Mostert Vannucci
     
11:40 - 12:10 Iba Wagner Mortera
     
12:10 - 12:40 Atchade Koop Wilson
     
12:40 - 12:50 Session Discussion Time    
12:50 - 15:30 Bush Walk (Optional)    
Bayesian Computation Spatial Models Bioinformatics, Genetics and Genomics
15:30 - 16:00 Polson Carlin Holmes
     
16:00 - 16:30 S Scott Schmidt Naylor
     
16:30 - 17:00 Van Dijk McGrory Jones
     
17:00 - 17:10 Session Discussion Time    
17:10 - 17:20 Short Break    
17:20 - 18:10 Keynote Speaker: Tony O'Hagan    
19:00 - 20:30 Conference Dinner    
20:30 - 22:30 Concert    
 
First name Surname Presentation Title
James Berger Keynote Bayesian adjustment for multiplicity
Sylvia Fruehwinth-Schnatter Keynote Auxillary mixture sampling - simple MCMC for non-Gaussian models
Xia-Li Meng Keynote A theory of (un)congeniality (between Bayesians and Frequentists?)
Tony O'Hagan Keynote Elicitation
Gareth Roberts Keynote Bayesian inference for diffusions
Jeffrey Rosenthal Keynote Adaptive Markov Chain Monte Carlo Algorithms
Edo Airoldi Savage Bayesian analysis of complex biological and social systems
Kostas Kalogeropoulos Savage Inference for stochastic volatility models using time change transformation
Vladimir Minin Savage Computationally efficient posterior predictive mapping of evolutionary histories makes estimation of selection forces possible in large scale studies of viral evolution
Iain Murray Savage Markov chain Monte Carlo for normalizers and doubly-intractable inference
Murray Aitkin Contributed Bayesian goodness of fit assessment through posterior deviances
Kostas Alexandridis Contributed Modelling Knowledge Scenarios for Tropical River Planning in Australia Using Participatory Bayesian Belief Networks
Clair Alston Contributed Bayesian Mixture Modelling - Discussing implementation in complex temporal and spatial data
Mylene Bedard Contributed Directional Adaptive Algorithm for Evaluating Tail Probabilities
Jose Bernado Contributed Reference priors for discrete parameters
Paul Blackwell Contributed Bayesian statistical issues in coral reef ecology
Natalia Bochkina Contributed Bayesian clustering of high dimensional data via a directional approach
Björn Bornkamp Contributed Bayesian Nonparametric Estimation of Monotone Functions
Caitlin Buck Contributed Bayesian construction of radiocarbon calibration curves
Peter Craig Contributed Practical routine analysis of sensitivity to choice of prior distributions
Edward Cripps Contributed Modeling uncertainty in satellite-derived land cover maps
Pierpaolo De Blasi Contributed Bayesian nonparametric estimation and consistency of Mixed Multinomial Logit Choice models
David Draper Contributed Bayesian model selection: quantifying the price of model uncertainty
Colin Fox Contributed Sampling and modeling of large gaussian processes
Dani Gamerman Contributed Simulataneous multifactor DIF analsis and detection in iterm response theory
James Gattiker Contributed Hierarchical calibration of computer models
John Geweke Contributed Hierarchical Markov normal mixture models with applications to financial asset returns
Mark Glickman Contributed Separating the best from the rest: Scheduling a tournament as a Bayesian locally-optimal design
Beatrix Jones Contributed Bayesian Parentage Analysis Using Multiple Imputation
David Leslie Contributed Binary choice models with general distributional forms
Merrill Liechty Contributed Multivariate slice sampling
Silvia Liverani Contributed Searching for Rhythmic Regulation using guided Conjugate Clustering
Sama Low Choy Contributed An interactive elicitation tool for regression: A modern computing platform using a modular predictive approach to elicit expert opinion
Clare McGrory Contributed Variational Bayes for the Analysis of Spatial Data
Ross McVinish Contributed Nonparametric estimation of minimum phase transfer functions
Melissa Naylor Contributed A novel multi-loci Bayesian approach to genome-wide association studies with family-based designs
Ilya Nemenman Contributed Efficient estimation of configurational entropies of macromolecules
Andrew Parnell Contributed Modelling the Palaeoclimate
Ken Rice Contributed Model-robust inference: a decision theoretic approach
Christian Robert Contributed Bayesian reassessment of nearest-neighbour classication
Bruno Sanso Contributed A spatio-temporal model for north atlantic sea surface temperatures
James Scott Contributed Objective Bayesian Model Selection in Gaussian Graphical Models
Simon Shaw Contributed Finite population corrections for multivariate Bayes sampling
Marc Suchard Contributed Bayesian phylo-geography: mapping the emergence of rapidly evolving pathogens through time and space
Benjamin Taylor Contributed Fixed Parameter Estimation in Static Sequential Monte Carlo Models With Application to Motor Unit Number Estimation
Herman van Dijk Contributed On Reliable and Efficient Simulation for Possibly Ill-behaved Posteriors: Some Experiments with Neural Network Sampling with Applications to IV models, Mixture Processes and Option Evaluations
Mattias Villani Contributed Regression Density Estimation Using Smooth Adaptive Gaussian Mixtures
Helga Wagner Contributed Stochastic Model Specification Search for Gaussian and Non-Gaussian State Space Models
Cathal Walsh Contributed The role of prior elictation and evidence combination in medical research
Robert Weiss Contributed Sex and the Statistician: Multivariate Longitudinal Analysis of Self-Reported Sex Behaviors
Melanie Wilson Contributed Bayesian Model Search for Genetic Association Studies
Song Zhang Contributed A Missing Data Method Based on a Product Partition Model of the Missing Patterns
Yves Atchade Invited An adaptive Monte Carlo approach for statistical models with intractable normalizing constants
Veera Baladandayuthapani Invited Hierarchical Bayesian functional data analysis and its applications
Susie Bayarri Invited Divergence based priors for objective Bayesian model selections
Brad Carlin Invited Analysis of marked point patterns with spatial and non-spatial covariate information
Cathy Chen Invited Bayesian evalution of multiple regime nonlinear volatility models
Louis Chen Invited Importance sampling of word patterns in DNA and protein sequences
Jim Clark Invited How Bayes is changing environmental science
Kim-Anh Do Invited A Bayesian semi-parametric survival model with longitudinal markers
Catherine Forbes Invited Nonparametric measurement of a time varying volatility risk premium
Simon Godsill Invited Models and inference for musical structure analysis
Peter Green Invited Explorations in and with sparse latent factor analysis
Dave Higdon Invited Multilevel adaptive sampling for inverse problems
Peter Hoff Invited Pooling information across matrix decompositions
Chris Holmes Invited Inferring regions of copy number variation in human DNA from SNP genotyping data using objective Bayesian signal processing methods
Yukito Iba Invited Rare event sampling by extended ensemble MCMC
Robert Kohn Invited Advances in adaptive sampling
Gary Koop Invited Flexible approach to parametric inference in nonlinear time series models
Herbie Lee Invited Treed Gaussian processes and pattern search optimisation
Antonietta Mira Invited Adaptive multiple importance sampling
Jesper Moller Invited Old and new auxiliary variable methods for Metropolis-Hastings algorithms for distributions with intractable normalizing constants
Jeff Morris Invited Bayesian Inference for High Dimensional Functional and Image Data using Functional Mixed Models
Julia Mortera Invited Sensitivity of inference in Bayesian networks to assumptions about founders in forensic genetics.
Paul Mostert Invited A Bayesian approach to model a multi-state Markov model for interval-censored data
Mario Peruggia Invited Bayesian synthesis
Anthony Pettitt Invited Bayesian Inference of the surviving number of motor neurons for Motor Neuron Disease patients
Nick Polson Invited Particle filtering and learning
Raquel Prado Invited Structured AR multi-process for detecting cognitive fatigue from multiple brain signals
Igor Pruenster Invited A Bayesian nonparametric approach for analysing and testing clustering structures
Sylvia Richardson Invited Bayesian analysis of high dimensional data
Fabio Rigat Invited Nonparametric dynamic modeling of biological time series
Jonty Rougier Invited Multivariate emulation of high-dimensional model output
Judith Rousseau Invited Combining expert opinions in prior elictation
Alexandra Schmidt Invited Discrete multivariate mixture distributions for spatial models
Steven Scott Invited Think locally, act globally: combining the best features of particle methods and MCMC
Scott Sisson Invited Improving the efficiency of likelihood free computations
Mike So Invited Multivariate GARCH models with correlation clustering
Marina Vannucci Invited Bayesian methods for genomics
Mike West Invited Bayesian computation, nonlinear dynamic models and cellular networks