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In modern applications, statisticians are faced with integrating heterogeneous data modalities relevant for an inference, prediction, or decision problem.
Dynamically combining climate models to "supermodel" the tropical pacific
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The Bayesian choice: from decision-theoretic foundations to computational implementation
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International correlation between human papillomavirus prevalence and cervical cancer incidence
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Rougier J., 03 2008 · 2008
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Bayesian theory , volume 405
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Cucala L., Marin J.-M., Robert C., and Titterington D., 2009 · 2009
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Modularization in Bayesian analysis, with emphasis on analysis of computer models
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Combining MCMC with sequential PKPD modelling
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Fully Bayesian hierarchical modelling in two stages, with application to meta-analysis
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Hierarchical adaptive regression kernels for regression with functional predictors
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Cuts in Bayesian graphical models
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Characterization of mixing errors in a coupled physical biogeochemical model of the North Atlantic: implications for nonlinear estimation using Gaussian anamorphosis
Béal D., Brasseur P., Brankart J.-M., Ourmières Y., and Verron J., 2010 · 2010
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Cutting feedback in Bayesian regression adjustment for the propensity score
McCandless L. C., Douglas I. J., Evans S. J., and Smeeth L., 2010 · 2010
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A Bayesian model of time activity data to investigate health effect of air pollution in time series studies
Blangiardo M., Hansell A., and Richardson S., 2011 · 2011
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On adaptive resampling strategies for sequential Monte Carlo methods
Del Moral P., Doucet A., and Jasra A., 2012 · 2012
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The safe Bayesian
Grünwald P · 2012
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The Bernstein-von-Mises theorem under misspecification
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Uncertainty in propensity score estimation: Bayesian methods for variable selection and model-averaged causal effects
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News feature: Building benchtop human models
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Bayesian model selection based on proper scoring rules
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Incorporating both randomized and observational data into a single analysis
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A general framework for updating belief distributions
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Ecosystem models for fisheries management: finding the sweet spot
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Toward automatic model comparison: an adaptive sequential Monte Carlo approach
Zhou Y., Johansen A. M., and Aston J. A., 2016 · 2016
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The central role of Bayes theorem for joint estimation of causal effects and propensity scores
Zigler C. M., 2016 · 2016
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Assigning a value to a power likelihood in a general Bayesian model
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Unbiased Markov chain Monte Carlo with couplings
Jacob P. E., O’Leary J., and Atchadé Y. F., 2017 · 2017
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Quantifying transmission heterogeneity using both pathogen phylogenies and incidence time series
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