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Bayesian statistics 9 : proceedings / [edited by] Bernardo, J. M....[et al.].

By: Contributor(s): Series: Oxford science publicationsPublication details: Oxford : Oxford University Press, 2011.Description: x, 706 pages : illustrations ; 24 cmISBN:
  • 9780199694587
Subject(s): DDC classification:
  • 000SA.161 23 V152
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.
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Includes bibliographical references.

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.

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