Titlebook: Bayesian Core: A Practical Approach to Computational Bayesian Statistics; Jean-Michel Marin,Christian P. Robert Textbook 20071st edition S

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Springer-Verlag New York 2007

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Human Capital and Economic Growth testing assimilation of the techniques. We then propose a corresponding statistical model centered on the normal N (μ, σ.) distribution and consider specific inferential questions to address at this level, namely parameter estimation, one-sided test, prediction, and outlier detection, after we set

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Giam Pietro Cipriani,Tamara Fioroniand thus to uncover explanatory and predictive patterns. This chapter unfolds the Bayesian analysis of the linear model both in terms of prior specification (conjugate, noninformative, and Zellner’s G-prior) and in terms of variable selection, the next chapter appearing as a sequel for nonlinear dep

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https://doi.org/10.1057/978-1-137-56561-7a single transformation of the data that must achieve the possibly conflicting goals of normality and linearity imposed by the linear regression model, which is for instance impossible for binary or count responses. The trick that allows both a feasible processing and an extension of linear regressi

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miracle

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Occupational Characteristics Analysisth series in the picture above!). As in the previous chapters, the difficulty in modeling such datasets is to balance the complexity of the representation of the dependence structure against the estimation of the corresponding model—and thus the modeling most often involves model choice or model com

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