(If several authors, speaker marked with *)
Adrian Dobra (National Institute of Statistical Sciences, USA),
Stephen Fienberg* (Carnegie Mellon University, USA) and
Mario Trottini (Universitat de València, Spain)
Assessing the Risk of Disclosure of Confidential Categorical
Data
Discussant: Chris Meek
(Microsoft Research, USA)
Stuart Coles (University of Bristol, UK) and
Luis Pericchi* (University of Puerto Rico Río Piedras, USA)
Modelling the Uncertainty of Catastrophically Extreme
Events: Was the Observed Catastrophe Impossible to be
Anticipated?
David Walshaw*
and Elizabeth Smith (University of Newcastle Upon Tyne, UK)
Inference for Multivariate Extremes and Spatial Extremes
Robert L. Wolpert* (Duke University, USA),
Katja Ickstadt (Universität Dortmund, Germany) and
Martin B. Hansen (Aalborg Universitet, Denmark)
A Nonparametric Bayesian Approach to Inverse Problems
Discussant:
Subhashis Ghosal
(North Carolina State University, USA)
Eduardo Gutiérrez-Peña* (UNAM, Mexico) and L. E.
Nieto-Barajas (ITAM, Mexico)
Bayesian Nonparametric Inference for Mixed Poisson Processes
Discussant:
Luke Tierney
(University of Minnesota, USA)
Nuala Sheehan* (University of Leicester, UK) and
Daniel Sorensen (Danish Institute of Agricultural Sciences, Denmark)
Bayesian Markov Chain Monte Carlo Mapping of Continuous Traits using
Graphical Models
Paola Vicard*, Julia Mortera (Università Roma Tre,
Italy)
and Philip Dawid (University College London, UK)
Assessing Mutation Rates for Forensic Markers
Kenneth Rice*
and David Spiegelhalter (MRC Biostatistics Unit, UK)
A Bayesian Derivation of Conditional Methods for Matched Case-Control
Studies
Marc Suchard, Robert Weiss* (UCLA, USA)
Karin Dorman (Iowa State University, USA)
and Janet Sinsheimer (UCLA, USA)
Are You My Mother? Inferring Parentals for Recombination and Spatial
Phylogenetic Variation
José Mario Quintana* (The Nikko Securities Co.
International, Inc. and
Bayesian Enhanced Strategic Trading, USA),
Viridiana Lourdes (ITAM, Mexico),
Omar Aguilar (Lehman Brothers, USA)
and Jane Liu (UBS, USA)
Global Gambling
Discussant:
Dale J. Poirier
(University of California at Irvine, USA)
M. Davy and Simon Godsill*
(University of Cambridge, UK)
Bayesian Harmonic Models for Musical Signal Analysis
Discussant:
Raquel Prado
(University of California at Santa Cruz, USA)
Samson B. Adebayo*, Stefan Lang
and Ludwig Fahrmeir (University of Munich, Germany)
Semiparametric Seemingly Unrelated Regression Model -
A Bayesian Approach
Jeffrey Morris*, Marina Vannucci, Philip Brown
and Raymond Carroll (University of Texas M.D. Anderson Cancer
Center, USA)
Bayesian Wavelet-Based Nonparametric Modeling of Hierarchical
Functions
Sally Wood*, Wenxin Jiang
and Martin Tanner (University of New South Wales, Australia)
Mixtures of Splines - Bayesian Aproach to Spatially Adaptive
Nonparametric Regression
Albertus Pretorius*
and Abrie van der Merwe (University of the Orange Free State,
South Africa)
Bayesian Estimation in Animal Breeding using Dirichlet Process Prior for
Correlated Random Effects
First-named author [A-F]
For the complete set of papers to be presented in this session see:
Poster Session 1.
Michael Newton*, H. Yang
(University of Wisconsin-Madison, USA),
P. Gorman, I. Tomlinson and R. Roylance
(Cancer Research, UK)
A Statistical Approach to Modeling Genomic Aberrations in Cancer
Cells
Discussant:
Scott Schmidler
(Duke University, USA)
Jun S. Liu*, Junni L. Zhang
(Harvard University, USA),
Michael L. Palumbo and Charles E. Lawrence
(New York State Department of Health, USA),
Bayesian Clustering with Variable and Transformation
Selections
Discussant:
Adrian Raftery
(University of Washington, USA)
John Fountain
(University of Canterbury, New Zealand)
Eliciting Beliefs from Risk Averse Forecasters Using a Log Scoring
Rule
Roland Fried* (University of Dortmund, Germany) and Vanessa
Didelez (University College London, UK)
Decomposition and Selection of Graphical Models for Multivariate Time
Series
James Griffin*
and Mark Steel (University of Kent at Canterbury, UK)
Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic
Volatility
Jonathan Stroud (University of Pennsylvania, USA)
and Nicholas Polson* (University of Chicago, USA)
Bayesian Inference for Derivative Prices
Hugh Chipman (University of Waterloo, Canada), Edward
George*
(University of Pennsylvania, USA)
and Rob McCulloch (University of Chicago, USA)
Bayesian Treed Generalized Linear Models
Discussant:
Chris Bishop
(Microsoft Research, UK)
Gabriella Salinetti
(Università di Roma "La Sapienza", Italy)
New Tools for Consistency in Bayesian Non-Parametrics
Discussant:
Jayanta Ghosh
(Indian Statistical Institute, India)
Sujit Sahu* (University of Southampton, UK)
and Kanti Mardia (University of Leeds, UK)
A Bayesian Kriged-Kalman Model
Marco Ferreira*(Duke University, USA, and UFRJ, Brazil),
Mike West, Herbie Lee, (Duke University, USA)
David Higdon (LANL and Duke University, USA),
and Zhuoxin Bi (Petrotel Inc., USA)
Bayesian Multi-Scale Modelling
Herbie Lee*, Christopher Holloman, Catherine Calder (Duke University,
USA),
and Dave Higdon (LANL and Duke University, USA)
Flexible Gaussian Processes via Convolution
Chris Holmes*, Bani Mallick and HyoungMoon Kim
(Imperial College London, UK)
Analyzing Non-Stationary Spatial Data Using Piecewise Gaussian
Processes
David Higdon* (Los Alamos National Laboratory and Duke University,
USA), Herbie Lee and Chris Holloman
(Duke University, USA)
Markov Chain Monte Carlo-Based Approaches for Inference in
Computationally Intensive Inverse Problems
Discussant:
Anthony O'Hagan
(University of Sheffield, UK)
Angelika van der Linde* and Gerhard Osius
(University of Bremen, Germany)
Discrimination Based on an Odds Ratio Parameterization
Discussant:
Robert E. Kass
(Carnegie Mellon University, USA)
Joseph Ibrahim* (Harvard School of Public Health, USA)
and Ming-Hui Chen (University of Connecticut, USA)
The Relationship Between the Power Prior and Hierarchical Models
Guido Consonni* (Università di Pavia, Italy)
and Alberto Roverato (Università di Modena and di Reggio
Emilia, Italy)
Compatible Priors for Causal DAG Models
David Draper* (University of California Santa Cruz, USA)
and John Toland (University of Bath, UK)
Nonparametric Prior Specification: A Case Study
Catriona Queen*, Paul Garthwaite (The Open University, UK)
and Tony O'Hagan (Sheffield University, UK)
Experts' Reactions To Suprise Data: How Do We Model It?
First-named author [G-M]
For the complete set of papers to be presented in this session see:
Poster Session 2.
Mark J. Schervish*, Teddy Seidenfeld and Joseph B. Kadane
(Carnegie Mellon University, USA)
Measures of Incoherence:
How Not to Gamble if You Must
Discussant:
Dean P. Foster
(University of Pennsylvania, USA)
Valen Johnson* (Duke University and Los Alamos National Laboratory,
USA),
Todd Graves, Michael Hamada and Shane Reese (Los Alamos
National Laboratory, USA)
A Hierarchical Model for Estimating the Reliability of Complex
Systems
Discussant:
Dongchu Sun
(University of Missouri-Columbia, USA)
Emery Brown ( Harvard University and MIT, USA) , Rob Kass*,
and Valerie Ventura (Carnegie-Mellon University, USA)
Bayesian Methods in Neurophysiology
Paul Blackwell (University of Sheffield, UK)
Modelling and Inference in Radio-Telemetry
Jon Wakefield* and Chuan Zhou (University of Washington,
USA)
Modeling Gene Expression Data over Time: Curve Clustering using
Informative Prior Distributions
Yoel Haitovsky (Hebrew University of Jerusalem, Israel) and
Adrian Smith*
(Queen Mary, University of London, UK)
Modeling Disagreement Among and Within Raters' Assessments
Kerrie Mengersen*
(University of Newcastle, Australia) and
Christian Robert
(Université Paris Dauphine and CREST, France)
Lid Sampling with Self-Avoiding Particle Filters: The Pinball
Sampler
Discussant:
Peter Müller
(U. Texas MD Anderson Cancer Center and Duke University, USA)
Frederick Wong (University of New South Wales, Australia),
Chris Carter (The Hong Kong University, Hong Kong) and
Robert Kohn* (University of New South Wales, Australia)
Efficient Estimation of Covariance Selection Models
Discussant: David Madigan
(Rutgers University, USA)
Patricia Ziegelmann*
and Philip Brown (University of Kent at Canterbury, UK)
Model Selection Methods for Noncompliance in Multivariate
Pharmacokinetics Models
Petra Kuhnert*(University of Queensland, Australia) and Kerrie
Mengersen
(University of Newcastle, Australia)
An Application of Spatial Regression with Smoothing over the
Covariates
Radford Neal (University of Toronto, Canada)
Density Modeling and Clustering Using Dirichlet Diffusion Trees
Rainer Fischer*, Carlos Rodríguez and Volker Dose
(Institut für Plasmaphysik, Germany)
Reversible Jump Markov Chain Monte Carlo in Physics and the Role of
Priors
Daniel Peña*, Julio Rodríguez
(Universidad Carlos III de Madrid, Spain) and George Tiao
(University of Chicago, USA)
Identifying Mixtures of Regression Equations by the SAR
Procedure
Discussant:
Hal Stern
(Iowa State University, USA)
Steffen Lauritzen
(Aalborg University, Denmark)
Rasch Models with Exchangeable Rows and Columns
Discussant:
Michael Goldstein
(University of Durham, UK)
Michael Lavine (Duke University, USA)
A Marginal Ergodic Theorem
Zoubin Ghahramani* and Matthew J. Beal (University College
London, UK)
Variational and Bethe Scoring of Graphical Model Structures
Kenneth Hanson (Los Alamos National Laboratory, USA)
Use of Probability Gradients in Hybrid MCMC and a New Convergence
Test
Richard Boys* (University of Newcastle, UK)
and Daniel Henderson (The Open University, UK)
Data Augmentation and Marginal Updating Schemes for Inference in Hidden
Markov Models
Ron Zohar and Dan Geiger*
(Technion, Israel)
Estimation in Hidden Flow Models
Discussant:
Joseph B. Kadane
(Carnegie Mellon University, USA)
David Blei, Michael Jordan* and Andrew Ng
(University of California at Berkeley, USA)
Latent Dirichlet Models for Applications in
Information Retrieval
Discussant:
Steven MacEachern
(Ohio State University, USA)
Arnold Zellner (University of Chicago, USA)
Information Processing and Bayesian Analysis
Derek Bingham (University of Michigan, USA)
and Hugh Chipman* (University of Waterloo, Canada)
Identifying Designs for Model Selection
David Draper (University of California Santa Cruz, USA)
and Dimitris Fouskakis* (University of Bath, UK)
Stochastic Optimization Methods for Cost-Effective Quality Assessment in
Health
Jose M. Bernardo*
and Miguel Juarez (Universitat de València, Spain)
Intrinsic Estimation
Omiros Papaspiliopoulus,
Gareth O. Roberts* (Lancaster University, UK), and
Martin Sköld (Australian National University, Australia)
Non-Centered Parameterisations for Hierarchical Models and Data
Augmentation
Discussant:
Alan Gelfand
(University of Connecticut, USA)
Andrew Gelman
(Columbia University, USA)
Exploratory Data Analysis for Complex Models
Discussant:
Dalene Stangl
(Duke Universtity, USA)
Peter Grunwald*, (CWI, The Netherlands), Petri Kontkanen, Petri
Myllymaki, Teemu Roos, Henry Tirri
and Hannes Wettig (Helsinki Institute for Information Technology,
Finland)
Supervised Posterior Distributions
Steven Scott* (University of Southern California, USA)
and Padhraic Smyth (University of California Irvine, USA)
The Markovian Poisson Cascade with Applications to Web Traffic
Modeling
Nando de Freitas*
and Kobus Barnard (University of British Columbia, Canada)
Bayesian Models for Massive Multimedia Databases: a New Frontier
Irina Rish*
and Alina Beygelzimer (IBM, USA)
On the Importance of Using Treewidth as a Model-Selection Criterion for
Learning Bayesian Networks
First-named author [N-Z]
For the complete set of papers to be presented in this session see:
Poster Session 3.
Christopher Genovese and Larry Wasserman*
(Carnegie Mellon University, USA)
Bayesian and Frequentist Multiple Testing
Discussant:
Merlise Clyde
(Duke University, USA)
Reinaldo Arellano-Valle, Pilar Iglesias* and Ignacio
Vidal
(Pontificia Universidad Católica, Chile)
Bayesian Inference for Elliptical Linear Models:
Conjugate Analysis and Model Comparison
Discussant:
Judith Rousseau
(Université Paris 5, France)
Michael Daniels* (Iowa State University, USA)
and Mohsen Pourahmadi (Northern Illinois University, USA)
Bayesian Analysis of Covariance Matrices and Dynamic Models for
Longitudinal Data
Arzu Onar* (University of Miami, USA),
Karen Young, (University of Surrey, UK),
C. Cull
and Rury Hollman (Oxford University, UK)
Bayesian Degradation Models Applied to the UKPDS Data
Mike West (Duke University, USA)
Factor Regression Models
David Draper (University of California Santa Cruz, USA)
and Mark Gittoes* (Higher Education Funding Council for England,
UK)
Statistical Analysis of Performance Indicators in UK Higher Education
Bradley P. Carlin* and Sudipto Banerjee
(University of Minnesota, USA)
Hierarchical Multivariate CAR Models for
Spatio-Temporally Correlated Survival Data
Discussant:
Deborah Ashby
(Queen Mary, University of London, UK)
Siddhartha Chib
(Washington University, USA)
On Inferring Effects of Binary Treatments with Unobserved
Confounders
Discussant:
Ming-Hui Chen
(Worcester Polytechnic Institute, USA)
Simon Shaw
and Michael Goldstein* (University of Durham, UK)
Bayesian Approaches to Software Testing
Jonathan Rougier*
and Michael Goldstein (University of Durham, UK)
Direct and Indirect Prediction for Complex Systems Using Computer
Simulators
German Molina* (Duke University, USA),
Susie Bayarri, (Universitat de València, Spain)
and James O. Berger (Duke University, USA)
Fast Simulators for Assessment and Propagation of Model
Uncertainty
Shane Reese*, Alyson Wilson, Michael Hamada, Harry Martz
and Kenneth Ryan (Brigham Young University, USA)
Integrated Analysis of Computer and Physical Experiments