The weighted ensemble (WE) methodology orchestrates quasi-independent parallel
simulations run with intermittent communication that can enhance sampling of rare events …

Risk assessment must evolve for addressing the existing and future challenges, and
considering the new systems and innovations that have already arrived in our lives and that …

G eant 4 is a software toolkit for the simulation of the passage of particles through matter. It is
used by a large number of experiments and projects in a variety of application domains …

A fundamental problem in signal processing is the estimation of unknown parameters or
functions from noisy observations. Important examples include localization of objects in …

Abstract The Particle-In-Cell (PIC) method has been developed by Oscar Buneman, Charles
Birdsall, Roger W. Hockney, and John Dawson in the 1950s and, with the advances of …

Veridical data science extracts reliable and reproducible information from data, with an
enriched technical language to communicate and evaluate empirical evidence in the context …

The theory of large deviations is concerned with various approximations involving rare
events. It is also concerned with characterizing the circumstances that lead to a given rare …

The Bayesian failure probability inference (BFPI) framework provides a sound basis for
develo** new Bayesian active learning reliability analysis methods. However, it is still …

The cross-entropy method is a versatile heuristic tool for solving difficult estimation and
optimization problems, based on Kullback–Leibler (or cross-entropy) minimization. As an …

Studying extreme events and how they evolve in a changing climate is one of the most
important current scientific challenges. Starting from complex climate models, a key difficulty …