论文标题
近似后部的基准匹配：f-abc
Fiducial Matching for the Approximate Posterior: F-ABC
论文作者
论文摘要
与以前的ABC论文不同，使用通用足够的统计数据引入F-ABC，例如伯恩顿等。 （2019年），并避免由于内核而导致的后部文物。检查了匹配公差的性质，并提出了确定其值的指示。 F-ABC不面临与ABC相关的担忧。还提出了渐近学和仿真结果。
F-ABC is introduced, using universal sufficient statistics, unlike previous ABC papers, e.g. Bernton et al. (2019), and avoiding in the approximate posterior artifacts due to a Kernel. The nature of matching tolerance is examined and indications for determining its values are presented. F-ABC does not face concerns associated with ABC. Asymptotics and simulation results are also presented.
