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

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

If a new pathogen causes a large epidemic, then it might “burn out” before causing a second epidemic. The burnout probability can be estimated from large numbers of computationally intensive ...

1 School of Public Health & Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia 2 Melbourne School of Population and Global Health, The University ...

c) after eliminating the 1’s on the diagonal, derive the pair-wise Pearson correlation between all returns applying Equation (4). The result is shown in the classical correlation matrix in Table 1.

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

Abbe Center of Photonics, Friedrich-Schiller Universität, Albert-Einstein-Straße 15, Jena 07745, Germany ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS), Department of ...

In this study, we revisit the microscopic kinetics model considering crystal nucleation as reversible attachment and detachment of units from growing clusters. Based on the variation of the rate ...

People distort probability in decision under risk and many other tasks. These distortions can be large, leading us to make markedly suboptimal decisions. There is no agreement on why we distort ...

In A Philosophical Essay on Probabilities, published in 1814, Pierre-Simon Laplace introduced a notorious hypothetical creature: a “vast intelligence” that knew the complete physical state of the ...