The detailed Program & Schedule and Abstract Book are now available. All abstracts can be also viewed at http://bayesian.org/abstracts/ISBA2012
Donald A. Berry (University of Texas MD Anderson Cancer Center, USA)
Slowly but Surely, Bayesian Ideas Revolutionize
Medical Research
Christian P. Robert (University of Paris Dauphine, France)
Approximate Bayesian Computation (ABC): Advances and questions
Aad W. van der Vaart (University of Leiden, Netherlands)
Confidence in nonparametric credible sets?
Mike West (Duke University, USA)
Bayesian Dynamic Modelling
KEYNOTE LECTURES
Arnaud Doucet (University of Oxford, UK)
Bayesian inference for intractable state-space models
Alan Gelfand (Duke University, USA)
Demographic Analysis of Forest Dynamics using Stochastic Integral Projection Models
Tomoyuki Higuchi (Institute of Statistical Mathematics, Japan)
Data assimilation and sequential Bayes filters: Information fusion with numerical simulation
Chris C. Holmes (Univeristy of Oxford, UK)
Bayesian methods in cancer genomics
Stephen G. Walker (University of Kent, UK)
Bayesian Nonparametrics & Conditional Distributions
INVITED SESSIONS
- Savage Award Session
- Model Selection
- Time Series Analysis and Finance
- Bayesian analysis of inverse problems
- Spatial State-Space Models
- Bayesian Econometrics
- Adaptive Bayesian Function Estimation
- Partial Identification and Causal Inference: What can Bayes bring to the Table?
- Matrix, Array and Relational Data
- Bayesian methods in Biostatistics
- Applications of particle filtering and sequential updating
- Predictive Inference and Bayes Methods
- Advances in Gaussian Processes
- On the uses of random probabilities in Bayesian inference
- S'Bayes: constructing and using subjective priors for Bayesain modelling
- Nonparametric Bayes Applications in Biostatistics
- Auxiliary variable and particle MCMC methods
- Problem-driven developments in Bayesian Nonparametrics
- Being Simultaneously Bayesian And Frequentist
- Bayesian analysis of network data: from network determination to network modeling
- Bayesian semi-parametric analysis: theory
SPECIAL TOPIC SESSIONS
- Bayesian Econometrics III
- Bayesian models for high-dimensional complex-structured data
- Bayesian Empirical Likelihood
- Bayesian Econometrics IV
- Bayesian spatio-temporal disease mapping: new frontiers
- Beyond MCMC Methods in Bayesian Inference
- Bayesian Applications
- Adaptive Monte Carlo
- Applied Bayesian Econometrics
- Recent Advances in Bayesian Variable Selection
- Bayesian analysis of astronomical data
- Beta Processes: Extensions and Applications
- Advances in honest Monte Carlo
- Hierarchies of Bayesian Nonparametric Processes
- Bayesian methods for Spatial Statistics
- Bayesian Econometrics II
- Recent advances in Bayesian causal inference
- Optimal Bayesian Experimental Design
- Bayesian modeling and its applications in social science
- Bayesian Methods in Biological, Environmental and Ecological Systems
- Case studies of Bayesian Success Stories: Babies, Trials and Ratings
- Bayesian Model Assessment
- Applications of Non- and Semi-parametric Bayesian Methods
- Bayesian inference in science: the pursuit of a synergy
- Approximate Bayesian Computation (ABC) : Likelihood-free Bayesian inference I
- Approximate Bayesian Computation (ABC) : Likelihood-free Bayesian inference II
- Parallel processing in Bayesian computing
- Bayesian methods in drug development
- Bayesian Analysis of Protein Structure and Evolution
- Bayesian Methods in Reliability
- Bayes Modeling in Marketing
- Bayesian Graphical & Factor Models: Structure, Sparsity & Dimension
- Scaling Bayesian computation to handle Big Data: Methods and feasibility
- High dimensional graphical models in genomics
