The typical phases of Bayesian network (BN) structured development include
specification of purpose and scope, structure development, parameterisation and
validation. Structure development is typically focused on qualitative issues
and parameterisation quantitative issues, however there are qualitative and
quantitative issues that arise in both phases. A common step that occurs after
the initial structure has been developed is to perform a rough parameterisation
that only captures and illustrates the intended qualitative behaviour of the
model. This is done prior to a more rigorous parameterisation, ensuring that
the structure is fit for purpose, as well as supporting later development and
validation. In our collective experience and in discussions with other
modellers, this step is an important part of the development process, but is
under-reported in the literature. Since the practice focuses on qualitative
issues, despite being quantitative in nature, we call this step qualitative
parameterisation and provide an outline of its role in the BN development
process.

Bayesian 网络结构开发的典型阶段包括目的和范围的确定、结构发展、参数化和验证。在结构发展阶段，通常关注定性问题，而在参数化阶段则关注定量问题。然而，在这两个阶段都会出现定性和定量问题。在初步开发了初始结构之后，通常会进行粗略的参数化，以捕捉和说明模型的预期定性行为。这是在更严格的参数化之前进行的，以确保结构适合目的，并支持后续的开发和验证。我们的共同经验和与其他建模者的讨论中发现，这一步骤是开发过程中重要的一部分，但在文献中很少提及。由于实践侧重定性问题，尽管其本质上是定量的，我们将这一步骤称为定性参数化，并概述了它在 BN 开发过程中的作用。