An overview is presented of a general theory of statistical inference that is referred to as the fiducial-Bayes fusion. This theory combines organic fiducial inference and Bayesian inference. The aim is that the reader is given a clear summary of the conceptual framework of the fiducial-Bayes fusion as well as pointers to further reading about its more technical aspects. Particular attention is paid to the issue of how much importance should be attached to the role of Bayesian inference within this framework. The appendix contains a substantive example of the application of the theory of the fiducial-Bayes fusion, which supplements various other examples of the application of this theory that are referenced in the paper.

翻译：本文概述了一种称为信度-贝叶斯融合的统计推断一般理论。该理论将有机信度推断与贝叶斯推断相结合。旨在为读者清晰总结信度-贝叶斯融合的概念框架，并提供关于其技术细节的进一步阅读指引。特别关注贝叶斯推断在该框架内的作用应受到多大重视。附录包含信度-贝叶斯融合理论应用的一个实质性示例，补充了本文引用的该理论其他应用实例。