The traditional computational modeling of protein structure, dynamics, and interactions
remains difficult for many protein systems. It is mostly due to the size of protein conformational …

Health economic evaluations have recently become an important part of the clinical and
medical research process and have built upon more advanced statistical decision-theoretic …

Some simple heuristic properties of conditional independence are shown to form a conceptual
framework for much of the theory of statistical inference. This framework is illustrated by …

… available has been discussed by Dawid (1971) for a facet having just two responses-yes or
no, or 0 or 1. In the next section we extend the analysis proposed by Dawid to a facet having …

The prequential approach is founded on the premiss that the purpose of statistical inference
is to make sequential probability forecasts for future observations, rather than to express …

We review recent developments in applying Bayesian probabilistic and statistical ideas to
expert systems. Using a real, moderately complex, medical example we illustrate how …

Background Before the COVID-19 pandemic, coronaviruses caused two noteworthy outbreaks:
severe acute respiratory syndrome (SARS), starting in 2002, and Middle East respiratory …

We investigate directed Markov fields over finite graphs without positivity assumptions on
the densities involved. A criterion for conditional independence of two groups of variables …

… Nonetheless, let us join Dawid in supposing such a distribution. In this case Dawid shows that
I … Professor Dawid is vague on this point. In principle. no finite initial sequence constrains a …

I discuss Bayesian factor regression models with many explanatory variables. These models
are of particular interest and applicability in problems of prediction, but also for elucidating …