We introduce an information criterion, PCIC, for predictive evaluation based on quasi-posterior distributions. It is regarded as a natural generalization of widely applicable information criterion (WAIC) and can be computed via a single Markov Chain Monte Carlo run. PCIC is useful in a variety of predictive settings that are not well dealt with in WAIC, including weighted likelihood inference and quasi-Bayesian prediction.

翻译：我们引入了基于准别处分布的预测性评价信息标准PCIC,它被视为广泛适用信息标准的自然概括,可以通过单一的Markov链条蒙特卡洛运行计算。 PCIC在WACIC没有很好处理的各种预测环境中非常有用,包括加权概率推断和准Bayesian预测。