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Many researchers and journals place a strong emphasis on the sign and statistical significance of effects—but often there is very… Expand Dans le cadre de sa propre theorie formelle de l'inference causale contrefactuelle, l'A. presente quelques methodes et outils… Expand The ‘sparse Bayesian’ modelling approach, as exemplified by the ‘relevance vector machine’, enables sparse classification and… Expand Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve… Expand Robins (1993, 1994, 1997, 1998ab) has developed a set of causal or counterfactual models, the structural nested models (SNMs… Expand Abstract In the context of Bayes estimation via Gibbs sampling, with or without data augmentation, a simple approach is developed… Expand Abstract. The paper develops and analyzes a model of a firm's market value as it relates to contemporaneous and future earnings… Expand For many years, stock market analysts have argued that value strategies outperform the market. These value strategies call for… Expand Abstract Stochastic substitution, the Gibbs sampler, and the sampling-importance-resampling algorithm can be viewed as three… Expand CONSIDER Table 1. It represents in its formal characteristics a situation which arises in the clinical-social-personality areas… Expand