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Paul Damien, Petros Dellaportas, Nicholas G. Polson, David A. Stephens: Introduction; I EXCHANGEABILITY; 1 Michael Goldstein: Observables and Models: exchangeability and the inductive argument; 2 A. Philip Dawid: Exchangeability and its Ramifications; II HIERARCHICAL MODELS; 3 Alan E. Gelfand and Souparno Ghosh: Hierarchical Modeling; 4 Sounak Chakraborty, Bani K Mallick and Malay Ghosh: Bayesian Hierarchical Kernel Machines for Nonlinear Regression and Classification; 5 Athanasios Kottas and Kassandra Fronczyk: Flexible Bayesian modelling for clustered categorical responses in developmental toxicology; III MARKOV CHAIN MONTE CARLO; 6 Siddartha Chib: Markov chain Monte Carlo Methods; 7 Jim E. Griffin and David A. Stephens: Advances in Markov chain Monte Carlo; IV DYNAMIC MODELS; 8 Mike West: Bayesian Dynamic Modelling; 9 Dani Gamerman and Esther Salazar: Hierarchical modeling in time series: the factor analytic approach; 10 Gabriel Huerta and Glenn A. Stark: Dynamic and spatial modeling of block maxima extremes; V SEQUENTIAL MONTE CARLO; 11 Hedibert F. Lopes and Carlos M. Carvalho: Online Bayesian learning in dynamic models: An illustrative introduction to particle methods; 12 Ana Paula Sales, Christopher Challis, Ryan Prenger, and Daniel Merl: Semi-supervised Classification of Texts Using Particle Learning for Probabilistic Automata; VI NONPARAMETRICS; 13 Stephen G Walker: Bayesian Nonparametrics; 14 Ramses H. Mena: Geometric Weight Priors and their Applications; 15 Stephen G. Walker and George Karabatsos: Revisiting Bayesian Curve Fitting Using Multivariate Normal Mixtures; VII SPLINE MODELS AND COPULAS; 16 Sally Wood: Applications of Bayesian Smoothing Splines; 17 Michael Stanley Smith: Bayesian Approaches to Copula Modelling; VIII MODEL ELABORATION AND PRIOR DISTRIBUTIONS; 18 M.J. Bayarri and J.O. Berger: Hypothesis Testing and Model Uncertainty; 19 E. Gutierrez-Pena and M. Mendoza: Proper and non-informative conjugate priors for exponential family models; 20 David Draper: Bayesian Model Specification: Heuristics and Examples; 21 Zesong Liu, Jesse Windle, and James G. Scott: Case studies in Bayesian screening for time-varying model structure: The partition problem; IX REGRESSIONS AND MODEL AVERAGING; 22 Hugh A. Chipman, Edward I. George and Robert E. McCulloch: Bayesian Regression Structure Discovery; 23 Robert B. Gramacy: Gibbs sampling for ordinary, robust and logistic regression with Laplace priors; 24 Merlise Clyde and Edwin S. Iversen: Bayesian Model Averaging in the M-Open Framework; X FINANCE AND ACTUARIAL SCIENCE; 25 Eric Jacquier and Nicholas G Polson: Asset Allocation in Finance: A Bayesian Perspective; 26 Arthur Korteweg: Markov Chain Monte Carlo Methods in Corporate Finance; 27 Udi Makov: Actuarial Credibity Theory and Bayesian Statistics - The Story of a Special Evolution; XI MEDICINE AND BIOSTATISTICS; 28 Peter Muller: Bayesian Models in Biostatistics and Medicine; 29 Purushottam W. Laud, Siva Sivaganesan and Peter Muller: Subgroup Analysis; 30 Timothy E. Hanson and Alejandro Jara: Surviving Fully Bayesian Nonparametric Regression Models; XII INVERSE PROBLEMS AND APPLICATIONS; 31 Colin Fox, Heikki Haario and J. Andres Christen: Inverse Problems; 32 Jari Kaipio and Ville Kolehmainen: Approximate marginalization over modeling errors and uncertainties in inverse problems; 33 C. Nakhleh, D. Higdon, C. K. Allen and R. Ryne: Bayesian reconstruction of particle beam phase space

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