2 citations · 2 across the 3 of their papers we have counts for
3 papers
elicito: A Python Package for Expert Prior Elicitation
Florence Bockting, Paul-Christian Bürkner
Expert prior elicitation plays a critical role in Bayesian analysis by enabling the specification of prior distributions that reflect domain knowledge. However, expert knowledge of…
Expert-elicitation method for non-parametric joint priors using normalizing flows
Florence Bockting, Stefan T. Radev, Paul-Christian Bürkner
We propose an expert-elicitation method for learning non-parametric joint prior distributions using normalizing flows. Normalizing flows are a class of generative models that enabl…
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
Florence Bockting, Stefan T. Radev, Paul-Christian Bürkner
A central characteristic of Bayesian statistics is the ability to consistently incorporate prior knowledge into various modeling processes. In this paper, we focus on translating d…