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 ...

Micron pop-and-drop reveals semiconductor vulnerability. Gareth Soloway explains S&P/Nasdaq trend change, gold/oil/Bitcoin ...

A new study reveals that every major mass extinction in Earth’s history follows a single repeating pattern tied to the pace ...

Abstract: In this letter, a highly accurate approximate approach for the sum of arbitrary correlated Weibull random variables is proposed. Specifically, closed-form approximate expressions for the ...

Discusses Phase III Program Design and Durable Cardiac Improvements in Friedreich's Ataxia June 29, 2026 2:00 PM ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Septic shock was associated with persistent independent excess mortality over five years after hospital discharge, whereas in sepsis without shock, this was largely explained by pre-existing ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

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aDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada bDepartment of Medicine, McMaster University, Hamilton, ON, Canada ...