"Estimations of model parameters are presented under Bayesian framework using a combination of Gibbs sampler and Metropolis-Hastings algorithm. Predictions and applications of the proposed model in enterprise risk management and cyber insurance rate filing are discussed."
Traditional #statistical and #algorithm-based methods used to analyze #bigdata often overlook small but significant evidence. #bayesian #statistics, driven by #conditional #probability, offer a soluti
"The #eu proposal for the #artificialintelligenceact (#aia) defines four #risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of a
This paper claims to contribute to the understanding of #peertopeer, #decentralized distributed #insurance as a viable alternative to traditional insurance models, offering potential solutions to addr