The management of operational risk in the banking industry has undergone explosive
changes over the last decade due to substantial changes in the operational environment. …

A one-stop guide for the theories, applications, and statistical methodologies essential to
operational risk Providing a complete overview of operational risk modeling and relevant …

Alveolar macrophages (AMs) play a major role in host defense against microbial infections in
the lung. To perform this function, these cells must ingest and destroy pathogens, generally …

To meet the Basel II regulatory requirements for the Advanced Measurement Approaches,
the bank's internal model must include the use of internal data, relevant external data, …

To quantify an operational risk capital charge under Basel II, many banks adopt a Loss
Distribution Approach. Under this approach, quantification of the frequency and severity …

Various stochastic models have been proposed to estimate mortality rates. In this paper we
illustrate how machine learning techniques allow us to analyze the quality of such mortality …

Solid-state batteries can suffer from catastrophic failure at high current densities due to solid
electrolyte fracture, interface decomposition, or lithium filament growth. Failure is linked to …

Estimation of the operational risk capital under the Loss Distribution Approach requires
evaluation of aggregate (compound) loss distributions which is one of the classic problems in risk …

We present the results of dynamic in-situ 3D X-ray imaging of methane hydrates microstructure
during methane hydrate formation and dissociation in sand samples. Short scanning …

… Pavel V. Shevchenko, PhD, is senior principal Research scientist in the division of
computational informatics at the commonwealth scientific and industrial Research organisation, …