| Description |
1 online resource (x, 720 pages) : illustrations |
| Series |
Oxford science publications |
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Oxford science publications.
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| Contents |
Integrated objective Bayesian estimation and hypothesis testing / J.M. Bernardo -- Dynamic stock selection strategies: a structured factor model framework / C.M. Carvalho, H.F. Lopes, and O. Aguilar -- Free energy sequential Monte Carlo, application to mixture modelling / N. Chopin and P. Jacob -- Moment priors for Bayesian model choice with applications to directed acyclic graphs / G. Consonni and J. La Rocca -- Nonparametric bayes regression and classification through mixtures of product kernels / D.B. Dunson and A. Bhattacharya -- Bayesian variable selection for random intercept modelling of Gaussian and non-Gaussian data / S. Frühwirth-Schnatter and H. Wagner -- External Bayesian analysis for computer simulators / M. Goldstein -- Optimization under unknown constraints / R.B. Gramacy and H.K.H. Lee -- Using TPA for Bayesian inference / M. Huber and S. Schott -- Nonparametric Bayesian networks / K. Ickstadt, B. Bornkamp, M. Grzegorczyk, J. Wieczorek, M.R. Sheriff, H.E. Grecco and E. Zamir -- Particle learning for sequential Bayesian computation / H.F. Lopes, C.M. Carvalho, M.S. Johannes and N.G. Polson -- Rotating stars and revolving planets: Bayesian exploration of the pulsating sky / T.J. Loredo -- Association tests that accommodate genotyping uncertainty / T.A. Louis, B.S. Carvalho, M.D. Fallin, R.A. Irizarryi, Q. Li and I. Ruczinski -- Bayesian methods in pharmacovigilance / D. Madigan, P. Ryan, S. Simpson, and I. Zorych -- Approximating max-sum-product problems using multiplicative error bounds / C. Meek and Y. Wexler -- What's the H in H-likelihood: a holy grail or an Achilles' heel? / X.-L. Meng -- Shrink globally, act locally: sparse Bayesian / N.G. Polson and J.G. Scott -- Bayesian models for sparse regression analysis of high dimensional data / S. Richardson, L. Bottolo and J.S. Rosenthal -- Transparent parameterizations of models for potential outcomes / T.S. Richardson, R.J. Evans and J.M. Robins -- Modelling multivariate counts varying continuously in space / A.M. Schmidt and M.A. Rodríguez -- Characterizing uncertainty of future climate change projections using hierarchical Bayesian models / C. Tebaldi, B. Sansó and R.L. Smith -- Bayesian models for variable selection that incorporate biological information / M. Vannucci and F.C. Stingo -- Parameter inference for stochastic kinetic models of bacterial gene regulation: a Bayesian approach to systems biology / D.J. Wilkinson |
| Summary |
Annotation The Valencia International Meetings on Bayesian Statistics - established in 1979 and held every four years - have been the forum for a definitive overview of current concerns and activities in Bayesian statistics. These are the edited Proceedings of the Ninth meeting, and contain the invited papers each followed by their discussion and a rejoinder by the authors(s). In the tradition of the earlier editions, this encompasses an enormous range of theoretical and applied research, high lighting the breadth, vitality and impact of Bayesian thinking in interdisciplinary research across many fields as well as the corresponding growth and vitality of core theory and methodology. The Valencia 9 invited papers cover a broad range of topics, including foundational and core theoretical issues in statistics, the continued development of new and refined computational methods for complex Bayesian modelling, substantive applications of flexible Bayesian modelling, and new developments inthe theory and methodology of graphical modelling. They also describe advances in methodology for specific applied fields, including financial econometrics and portfolio decision making, public policy applications for drug surveillance, studies in the physical and environmental sciences, astronomy and astrophysics, climate change studies, molecular biosciences, statistical genetics or stochastic dynamic networks in systems biology |
| Bibliography |
Includes bibliographical references |
| Audience |
Scholarly & Professional Oxford University Press, Incorporated |
| Notes |
Print version record |
| Subject |
Bayesian statistical decision theory -- Congresses
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Bayesian statistical decision theory
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Bernardo, J. M., editor
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Bayarri, M. J., editor
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Berger, James O., editor
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| ISBN |
9780191731921 |
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0191731927 |
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