Statistical signal processing applications usually require the estimation of some parameters
of interest given a set of observed data. These estimates are typically obtained either by …

In structural engineering, model updating is often used for non-destructive damage
assessment: by calibrating stiffness parameters of finite element models based on …

As countries in the world review interventions for containing the pandemic of coronavirus
disease 2019 (COVID-19), important lessons can be drawn from the study of the full …

In the absence of neither an effective treatment or vaccine and with an incomplete
understanding of the epidemiological cycle, Govt. has implemented a nationwide lockdown …

At a distance of 1.295 parsecs, the red dwarf Proxima Centauri (α Centauri C, GL 551, HIP
70890 or simply Proxima) is the Sun's closest stellar neighbour and one of the best-studied …

Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …

Bayesian inference has found widespread application and use in science and engineering
to reconcile Earth system models with data, including prediction in space (interpolation) …

Parameter studies are everywhere in computational science. Complex engineering
simulations must run several times with different inputs to effectively study the relationships …

Identification of a groundwater contaminant source simultaneously with the hydraulic
conductivity in highly heterogeneous media often results in a high‐dimensional inverse …

The current paradigm, widely incorporated in soil biogeochemical models, is that microbial
methanogenesis can only occur in anoxic habitats. In contrast, here we show clear …