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Improving the production and evaluation of structural models using a Delphi process (2020)
Preprint / Working Paper
Bolger, F., Nyberg, E. P., Belton, I., Crawford, M. M., Hamlin, I., Nicholson, A., Alvandi, A. O., Pearson, R., Riley, J., Sissons, A., Taylor Browne Lūka, C., Thakur, S., Vasilichi, A., & Wright, G. Improving the production and evaluation of structural models using a Delphi process

Bayes Nets (BNs) are extremely useful for causal and probabilistic modelling in many real-world applications, often built with information elicited from groups of domain experts. But their potential for reasoning and decision support has been limited... Read More about Improving the production and evaluation of structural models using a Delphi process.