My project aims to develop new Bayesian methods for Auditing. It leans on two pillars of research: 1) Improving availability of modern techniques and 2) developing new auditing methods.
My main research interests are Bayesian statistics and programming. As such, I have (co-)authored several articles on these topics.1
My research activities will be leading to several presentations on Bayesian audit methods. Also my teaching involves presenting the material in an understandable way.2
My vision is to create two ways to improve the way audits are currently performed. Firstly, I will make modern statistical techniques available to auditors so that they don’t work with outdated techniques. I will do this by programming these statistical techniques into the user-friendly and open-source software package JASP, so that auditors have easy access to these techniques without having to program anything themselves. The second is to develop new techniques that are specifically suited to perform audit work, by combining various sources of data such that the amount of data that is needed to get to the desired level of audit risk is minimized.
JASP is a cross-platform software program with a state-of-the-art graphical user interface. The JASP interface allows researchers and students to conduct statistical analyses in seconds, and without having to learn programming or risking a programming mistake. JASP for Audit focusses specifically on auditing, aiming to increase efficiency in the audit process.
In my work I collaborate with several institutes and companies to improve the auditing process. Because of my place in both theoretical and practical institutions, I have a complete understanding of the research field.