Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

Objective To quantify US female and male Olympic athletes’ longevity and the years of life lost or saved due to multiple causes of death as compared with the US general population. Methods Former US ...

Background Acute kidney injury requiring dialysis (AKI-D) is a major contributor to morbidity and mortality worldwide, with ...

These, expert estimates, and error rates from generic tasks, were used in a Bayesian conditional independence model to find error ‘hot-spots.’ The main outcome measure was the probability of at least ...

In this multicentre, prospective, observational, diagnostic accuracy study of children with suspected pulmonary embolism in ...

Greenland Resources Inc. is pleased to announce that, as a follow up to its press release dated March 2, 2026 on a conditional approval, the Government of Canada concluded its final due diligence and ...

The Global Financial Stability Report provides semiannual assessments of global financial markets and addresses emerging market financing in a global context.* ...

Objective Phase II trials suggest glucagon-like peptide-1 receptor (GLP1) agonists resolve metabolic dysfunction-associated steatohepatitis but do not affect fibrosis regression. We aimed to determine ...

The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many ...