"The article provides a short overview of methods for constructing mathematical models in the form of Bayesian Networks for modeling operational risks under conditions of uncertainty. Let’s provide the sequence of actions necessary for creating a model in the form of the network, methods for computing a probabilistic output in BN, and give examples of using the tool to solve practical problems of operational financial risk estimation."
top of page
Rechercher
Posts récents
Voir toutEffective risk management requires understanding aggregate risks, individual business unit riskiness, and systemic risks. Realistic...
10
The paper explains Artificial Intelligence (AI), focusing on Generative AI, its role in finance, and its differences from Machine...
30
Insurers face complex risk dependencies in loss reserving. Additive background risk models (ABRMs) offer interpretable structures but can...
10
bottom of page
Kommentare