Bayesian statistics 9 : proceedings of the Ninth Valencia International Meeting, June 3-8, 2010 /
Annotation
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Oxford ; New York :
Oxford University Press,
2011.
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| Series: | Oxford science publications.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of 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.