The level of modeling sophistication in financial services has increased considerably over
the years. Nowadays, the complexity of financial problems and the vast amount of data …

This article proposes a methodology for the application of Bayesian networks in conducting
quantitative risk assessment of operations in offshore oil and gas industry. The method …

A main concern of risk management in financial institutions is measurement of operational
risk and its value at risk as a requirement of Basel II accord. Besides risk quantification …

This paper describes the development of a tool, based on a Bayesian network model, that
provides posteriori predictions of operational risk events, aggregate operational loss …

This study aims to develop a Bayesian methodology to identify, quantify and measure
operational risk in several business lines of commercial banking. To do this, a Bayesian …

Understanding human facial expressions is one of the key steps towards achieving human–
computer interaction. Owing to the anatomic mechanism that governs facial muscular …

Developments in financial markets in recent years have made financial institutions give
greater importance to the concept of risk management, especially by banks that lost …

Bayesian network (BN) is an efficient graphical method that uses directed acyclic graphs
(DAG) to provide information about a set of data. BNs consist of nodes and arcs (or edges) …

Scheduling the wheel inspection is critical to ensure the safety and sustainability of urban
rail transit (URT) operation. The common wheel inspection is conducted on a fixed-interval …

Аннотация Реализация экономических рисков приводит к возникновению
нежелательных событий, которые характеризуются возможностью нанесения …