Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

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Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty ...

Fungal infections lead to 14.9 million cases and 1.7 million deaths globally every year, and are ranked 3rd among the most common pathogens causing bloodstream infections. The most prevalent ...

The report informs policymakers on possible relevance and applicability of UBI in countries at different stages of the income ladder. Clear trade-offs are emerging between UBI’s intended goals, ...