TY  - BOOK
AU  - Damien,Paul
AU  - Dellaportas,Petros
AU  - Polson,Nicholas G.
AU  - Stephens,David A.
TI  - Bayesian theory and applications
SN  - 9780198739074
U1  - 000SA.161 23
PY  - 2013///
CY  - Oxford : 
PB  - Oxford University Press, 
KW  - Bayesian statistical decision theory
N1  - Dedicated to Sir Adrian Smith, F.R.S; Includes bibliographical references and index; 1. Observables and models : exchangeability and the inductive argument / Michael Goldstein --
2. Exchangeability and its ramifications / A. Philip Dawid --
3. Hierarchical modelling / Alan E. Gelfand, Souparno Ghosh --
4. Bayesian hierarchical kernel machines for nonlinear regression and classification / Sounak Chakraborty, Bani K. Mallick, Malay Ghosh --
5. Flexible Bayesian modelling for clustered categorical responses in developmental toxicology / Athanasios Kottas, Kassandra Fronczyk --
6. Markov chain Monte Carlo methods / Siddhartha Chib --
7. Advances in Markov chain Monte Carlo / Jim E. Griffin, David A. Stephens --
8. Bayesian dynamic modelling / Mike West --
9. Hierarchical modelling in time series : the factor analytic approach / Dani Gamerman, Esther Salazar --
10. Dynamic and spatial modelling of block maxima extremes / Gabriel Huerta, Glenn A. Stark --
11. Online Bayesian learning in dynamic models : an illustrative introduction to particle methods / Hedibert F. Lopes, Carlos M. Carvalho --
12. Semi-supervised classification of texts using particle learning for probabilistic automata / Ana Paula Sales [and others]. 
13. Bayesian nonparametrics / Stephen G. Walker --
14. Geometric weight priors and their applications / Ramses H. Mena --
15. Revisiting Bayesian curve fitting using multivariate normal mixtures / Stephen G. Walker, George Karabatsos --
16. Applications of Bayesian smoothing splines / Sally Wood --
17. Bayesian approaches to copula modelling / Michael Stanley Smith --
18. Hypothesis testing and model uncertainty / M.J. Bayarri, J.O. Berger --
19. Proper and non-informative conjugate priors for exponential family models / E. Gutierrez-Pena, M. Mendoza --
20. Bayesian model specification : heuristics and examples / David Draper --
21. Case studies in Bayesian screening for time-varying model structure : the partition problem / Zesong Liu, Jesse Windle, James G. Scott --
22. Bayesian regression structure discovery / Hugh A. Chipman, Edward I. George, Robert E. McCulloch --
23. Gibbs sampling for ordinary, robust and logistic regression with Laplace priors / Robert B. Gramacy --
24. Baysian model averaging in the M-open framework / Merlise Clyde, Edwin S. Iversen --
25. Asset allocation in finance : a Bayesian perspective / Eric Jacquier, Nicholas G. Polson --
26. Markov chain Monte Carlo methods in corporate finance / Arthur Korteweg --
27. Actuarial credibility theory and Baysian statistics : the story of a special evolution / Udi Makov --
28. Bayesian models in biostatistics and medicine / Peter Muller --
29. Subgroup analysis / Purushottam W. Laud, Siva Sivaganesan, Peter Muller --
30. Surviving fully Bayesian nonparametric regression models / Timothy E. Hanson, Alejandro Jara --
31. Inverse problems / Colin Fox, Heikki Haario, J. Andres Christen --
32. Approximate marginalization over modelling errors and uncertainties in inverse problems / Jari Kaipio, Ville Kolehmainen --
33. Bayesian reconstruction of particle beam phase space / C. Nakhleh [and others]
N2  - This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field
ER  -