Quantitative Risk Assessment in AML refers to a data-based approach that uses numerical scoring models to measure and score an entity’s exposure to Money laundering, Terrorist Financing, and ...

Risk analysis for installations containing large amounts of flammable substances is important to ensure safety and to meet legal requirements. Click here to enlarge image This article deals with a ...

High-performance computing comes in especially handy in operations involving the analysis of large datasets. Traditional application areas such as meteorology, research, manufacturing, life sciences ...

There is wide interest in studying how the distribution of a continuous response changes with a predictor. We are motivated by environmental applications in which the predictor is the dose of an ...

Mike Chapple is associate teaching professor of IT, analytics and operations at the University of Notre Dame. “So, are you ready to make this investment in the security of your data?” As the ...

Researchers from the Johns Hopkins Bloomberg School of Public Health have developed a single "universal risk prediction model" for cardiovascular disease that, in initial tests, works well for ...

Everyone is talking about cybersecurity. Leaders with decades of experience at CEO, CFO and CRO level have seen it advance from a curious subset of IT to a board issue demanding their time and ...

The appraisal committee members included Ouyang Minggao, professor of Tsinghua University; Rao Hong, chief scientist of China Southern Power Grid; and 12 experts from China Electric Power Research ...

The governance, risk and compliance (GRC) landscape continues to undergo a profound transformation due to organizations needing to meet increasingly complex security and privacy standards. The primary ...