Bayesian Theory and Applications

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: Ramsés 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. Gutiérrez-Peña 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 Müller: Bayesian Models in Biostatistics and Medicine 29: Purushottam W. Laud, Siva Sivaganesan and Peter Müller: 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. Andrés 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