Abstract This Primer examines Skilling's nested sampling algorithm for Bayesian inference
and, more broadly, multidimensional integration. The principles of nested sampling are …

The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for
clinical trials and digital twins of the human heart have recently been proposed as a viable …

The fatigue limit state (FLS) often drives the design of offshore wind turbine (OWT)
substructures in European waters. Assessing fatigue damage over the intended design life …

Dynamic probabilistic risk assessment (PRA) more explicitly treats timing issues and
stochastic elements of risk models. It extensively resorts to iterative simulations of accident …

We introduce a novel framework called REIN: Reliability Estimation by learning an
Importance sampling (IS) distribution with Normalizing flows (NFs). The NFs learn probability …

This paper proposes a subset simulation (SS) based approach for space and time-
dependent reliability analysis of corroding pipelines. It is assumed that the pipeline can fail …

Recently, there is a flurry of projects that develop data plane systems in programmable
switches, and these systems perform far more sophisticated processing than simply deciding …

Bayesian estimation with an explicit transitional prior is required for a tracking algorithm to
be embedded in most multitarget tracking frameworks. This paper describes a novel …

This paper presents a novel approach for computing the rare failure event probability. Within
the framework of the proposed approach, adaptive hybrid polynomial correlated function …

Wind-energy systems are strongly affected by uncertainty and variability. Therefore,
uncertainty sources should be considered during the economic evaluation of this type of …