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

Physical theories that depend on many parameters or are tested against data from many
different experiments pose unique challenges to statistical inference. Many models in …

Virialized ultralight fields (VULFs) are viable cold dark-matter candidates and include scalar
and pseudoscalar bosonic fields, such as axions and dilatons. Direct searches for VULFs …

Abstract The multi-machine International Tokamak Physics Activity (ITPA) Global H-mode
Confinement Database has been upgraded with new data from JET with the ITER-like wall …

The motility of neutrophils and their ability to sense and to react to chemoattractants in their
environment are of central importance for the innate immunity. Neutrophils are guided …

In this paper we review the concepts of Bayesian evidence and Bayes factors, also known
as log odds ratios, and their application to model selection. The theory is presented along …

Combining quantum and Bayesian principles leads to optimality in metrology, but the
optimization equations involved are often hard to solve. This Letter mitigates this problem …

We develop a probabilistic Stokes flow framework, using physics informed Gaussian
processes, which can be used to solve both forward/inverse flow problems with missing …

Plastic deformation of tungsten wire is an effective source of toughening tungsten fibre-
reinforced tungsten composites (W f/W) and other tungsten fibre-reinforced composites. To …

Bayesianism is fast becoming the dominant paradigm in archaeological chronology
construction. This paradigm shift has been brought about in large part by widespread access …