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: Complex random variables arise naturally in many settings and their properties are of general interest. Past work on complex variables has mainly focused on their second-order structure, as ...

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

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 ...

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

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.

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

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

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 ...

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 ...