论文标题
审查的混合模型，用于建模风险
A censored mixture model for modeling risk taking
论文作者
论文摘要
风险行为可能对健康，福祉和运作产生重大影响。先前的研究表明，现实世界中的风险行为与实验任务（例如哥伦比亚卡任务）之间存在关联，但是由于几个原因，它们的建模是具有挑战性的。首先，许多实验风险任务可能会过早地导致观察结果。其次，某些结果值可能比其他结果更具吸引力。第三，先验未知组的参与者可以对某些风险级别的反应不同。在这里，我们提出了审查的混合模型（CMM），该模型模型在处理审查，实验条件和对某些结果的吸引力时冒着冒险。
Risk behavior can have substantial consequences for health, well-being, and functioning. Previous studies have shown an association between real-world risk behavior and risk behavior on experimental tasks, such as the Columbia Card Task, but their modeling is challenging for several reasons. First, many of the experimental risk tasks may end prematurely leading to censored observations. Second, certain outcome values can be more attractive than others. Third, a priori unknown groups of participants can react differently to certain risk-levels. Here, we propose the Censored Mixture Model (CMM), which models risk taking while handling censoring, experimental conditions, and attractiveness to certain outcomes.
