Hierarchical Approximate Bayesian Computation

Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas in psychology. However, ABC is usually applied only to models with few parameters. Extending ABC to hierarchical models has been difficult because high-dimensional hierarchical models add computational complexity that conventional ABC cannot accommodate. In this paper, we summarize some current approaches for performing hierarchical ABC and introduce a new algorithm called Gibbs ABC. This new algorithm incorporates well-known Bayesian techniques to improve the accuracy and efficiency of the ABC approach for estimation of hierarchical models. We then use the Gibbs ABC algorithm to estimate the parameters of two models of signal detection, one with and one without a tractable likelihood function.     

Applying imagined contact to improve physiological responses in anticipation of intergroup interactions and the perceived quality of these interactions

This experiment (N = 49) is the first to show that imagined contact can buffer anticipatory physiological responses to future interactions, and improve the quality of these interactions. Participants imagined a positive interaction with a person with schizophrenia, or in a control condition, a person who did not have schizophrenia. They then interacted with a confederate whom they believed had schizophrenia. Participants in the imagined contact condition reported more positive attitudes and less avoidance of people with schizophrenia, displayed smaller anticipatory physiological responses, specifically smaller changes in interbeat interval and skin conductance responses, and had a more positive interaction according to the confederate. These findings support applying imagined contact to improve interactions with people with severe mental illnesses.     

通过发展区域规划建设更加健康的未来

论述有关城市在这个更大范围的地区和全球系统中的位置,以及这些系统对城市和城市居民“健康”的影响。提出倡议:为了建设更健康的未来,城市需要参与并且对其地域生态的发展产生影响,而作为一个全方位的改革的一部分,城市应该将健康和人类的发展作为关注的重点。